World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
43
Citations
8093
World Ranking
4834
National Ranking
2168

Eric M. Smith publication distribution in Immunology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Immunology in 2026. The highlighted bar marks where Eric M. Smith sits on this spectrum.

62–71 publications: 9 scientists 72–81 publications: 23 scientists 82–91 publications: 40 scientists 92–101 publications: 72 scientists 102–111 publications: 86 scientists 112–121 publications: 108 scientists 122–131 publications: 150 scientists 132–141 publications: 160 scientists 142–151 publications: 159 scientists 152–161 publications: 189 scientists 162–171 publications: 166 scientists 172–181 publications: 181 scientists 182–191 publications: 188 scientists 192–201 publications: 187 scientists 202–211 publications: 178 scientists 212–221 publications: 158 scientists 222–231 publications: 168 scientists 232–241 publications: 159 scientists 242–251 publications: 160 scientists 252–261 publications: 148 scientists 262–271 publications: 116 scientists 272–281 publications: 125 scientists 282–291 publications: 115 scientists 292–301 publications: 111 scientists 302–311 publications: 95 scientists 312–321 publications: 97 scientists 322–331 publications: 97 scientists 332–341 publications: 99 scientists 342–351 publications: 96 scientists 352–361 publications: 68 scientists 362–371 publications: 76 scientists 372–381 publications: 71 scientists 382–391 publications: 71 scientists 392–401 publications: 62 scientists 402–411 publications: 54 scientists 412–421 publications: 41 scientists 422–431 publications: 63 scientists 432–441 publications: 53 scientists 442–451 publications: 31 scientists 452–461 publications: 42 scientists 462–471 publications: 40 scientists 472–481 publications: 29 scientists 482–491 publications: 34 scientists 492–501 publications: 30 scientists 502–511 publications: 23 scientists 512–521 publications: 41 scientists 522–531 publications: 29 scientists 532–541 publications: 28 scientists 542–551 publications: 16 scientists 552–561 publications: 18 scientists 562–571 publications: 18 scientists 572–581 publications: 17 scientists 582–591 publications: 17 scientists 592–601 publications: 17 scientists 602–611 publications: 19 scientists 612–621 publications: 13 scientists 622–631 publications: 12 scientists 632–641 publications: 11 scientists 642–651 publications: 16 scientists 652–661 publications: 9 scientists 662–671 publications: 5 scientists 672–681 publications: 13 scientists 682–691 publications: 12 scientists 692–701 publications: 6 scientists 702–711 publications: 6 scientists 712–721 publications: 9 scientists 722–731 publications: 9 scientists 732–741 publications: 6 scientists 742–751 publications: 11 scientists 752–761 publications: 10 scientists 762–771 publications: 7 scientists 772–781 publications: 12 scientists 782–791 publications: 7 scientists 792–801 publications: 5 scientists 802–806 publications: 1 scientists 807+ publications: 100 scientists
62 publications 807+

This scientist: 107 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 807 publications or more.

Eric M. Smith D-index placement in Immunology in 2026

The chart shows the D-index (discipline H-index) distribution of Immunology scientists ranked by Research.com in 2026. The highlighted bar marks where Eric M. Smith sits on this spectrum.

40–41 D-Index: 28 scientists 42–43 D-Index: 91 scientists 44–45 D-Index: 157 scientists 46–47 D-Index: 192 scientists 48–49 D-Index: 175 scientists 50–51 D-Index: 188 scientists 52–53 D-Index: 177 scientists 54–55 D-Index: 155 scientists 56–57 D-Index: 194 scientists 58–59 D-Index: 201 scientists 60–61 D-Index: 197 scientists 62–63 D-Index: 201 scientists 64–65 D-Index: 173 scientists 66–67 D-Index: 167 scientists 68–69 D-Index: 172 scientists 70–71 D-Index: 199 scientists 72–73 D-Index: 184 scientists 74–75 D-Index: 133 scientists 76–77 D-Index: 162 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 125 scientists 84–85 D-Index: 121 scientists 86–87 D-Index: 102 scientists 88–89 D-Index: 96 scientists 90–91 D-Index: 75 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 74 scientists 96–97 D-Index: 66 scientists 98–99 D-Index: 68 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 60 scientists 104–105 D-Index: 54 scientists 106–107 D-Index: 36 scientists 108–109 D-Index: 23 scientists 110–111 D-Index: 52 scientists 112–113 D-Index: 41 scientists 114–115 D-Index: 34 scientists 116–117 D-Index: 25 scientists 118–119 D-Index: 28 scientists 120–121 D-Index: 11 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 19 scientists 128–129 D-Index: 20 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 17 scientists 134–135 D-Index: 14 scientists 136–137 D-Index: 15 scientists 138–139 D-Index: 9 scientists 140–141 D-Index: 11 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 9 scientists 146–147 D-Index: 7 scientists 148–149 D-Index: 7 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 5 scientists 154–155 D-Index: 8 scientists 156 D-Index: 6 scientists 157+ D-Index: 96 scientists
40 D-Index 157+

This scientist: 43 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 157 D-Index or more.

Overview

Eric M. Smith is affiliated with The University of Texas Medical Branch at Galveston in the United States. Their research spans multiple fields with a focus on computer science and molecular biology, covering interdisciplinary topics related to artificial intelligence and immunology.

Their publication record includes a significant contribution to computer science, particularly within artificial intelligence. Research topics commonly addressed include:

  • Topic Modeling
  • Speech and Dialogue Systems
  • AI in Service Interactions
  • Natural Language Processing Techniques
  • T-cell and B-cell Immunology
  • Monoclonal and Polyclonal Antibodies Research
  • Immune Cell Function and Interaction

Eric M. Smith's recent papers demonstrate an engagement with open-domain conversational agents and dialogue modeling, alongside work intersecting with immunological research. Selected recent publications include:

  • "Llama 2: Open Foundation and Fine-Tuned Chat Models" (2023), published in arXiv (Cornell University)
  • "BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage" (2022), published in arXiv (Cornell University)
  • "Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions" (2020), published in arXiv (Cornell University)
  • "Controlling Style in Generated Dialogue" (2020), published in arXiv (Cornell University)
  • "A nondepleting anti-CD19 antibody impairs B cell function and inhibits autoimmune diseases" (2023), published in JCI Insight

Frequent co-authors in their collaborations include:

  • Jason Weston (8 publications)
  • Y-Lan Boureau (6 publications)
  • Adina Williams (6 publications)
  • Kurt Shuster (5 publications)
  • Da Young Ju (4 publications)

The venues where Eric M. Smith most frequently publishes are predominantly arXiv, with 18 publications, supplemented by journals such as JCI Insight and Proceedings of the National Academy of Sciences. Other venues include Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and PubMed.

Their interdisciplinary expertise bridges artificial intelligence techniques with immunological applications, reflecting a hybrid focus on computational approaches to biological and medical research problems.

Best Publications

  • Regulation of the in vitro antibody response by neuroendocrine hormones

    H M Johnson;E M Smith;B A Torres;J E Blalock

  • Corticotropin releasing factor induction of leukocyte-derived immunoreactive ACTH and endorphins

    Eric M. Smith;Audrey C. Morrill;Walter J. Meyer;J. Edwin Blalock;J. Edwin Blalock

  • Opioid and Opiate Immunoregulatory Processes

    George B. Stefano;Berta Scharrer;Eric M. Smith;Thomas K. Hughes

  • Virus-Induced Corticosterone in Hypophysectomized Mice: A Possible Lymphoid Adrenal Axis

    Eric M. Smith;Walter J. Meyer;J. Edwin Blalock

  • Human leukocyte interferon (HuIFN-α): Potent endorphin-like opioid activity

    J.Edwin Blalock;Eric M. Smith

  • Rotavirus stability and inactivation.

    Mary Kolb Estes;David Y. Graham;Eric M. Smith;Charles P. Gerba

  • Regulation of lymphokine (gamma-interferon) production by corticotropin.

    H M Johnson;B A Torres;E M Smith;L D Dion

  • Conceptual development of the immune system as a sixth sense

    J. Edwin Blalock;Eric M. Smith

  • Human lymphocyte production of immunoreactive thyrotropin

    E. M. Smith;M. Phan;T. E. Kruger;D. H. Coppenhaver

  • A plaque assay for the simian rotavirus SAII.

    Eric M. Smith;Mary Kolb Estes;David Y. Graham;Charles P. Gerba

  • Interaction of immunoactive monokines (interleukin 1 and tumor necrosis factor) in the bivalve mollusc Mytilus edulis.

    T K Hughes;E M Smith;R Chin;P Cadet

  • Neuroendocrine peptide hormones and their receptors in the immune system. Production, processing and action.

    J.Edwin Blalock;Kenneth L. Bost;Eric M. Smith

  • Interleukin-10 (cytokine synthesis inhibitory factor) acts in the central nervous system of rats to reduce sleep

    M.R. Opp;E.M. Smith;T.K. Hughes

  • IL-10 as a mediator in the HPA axis and brain

    Eric M Smith;Patrick Cadet;George B Stefano;Mark R Opp

  • Role of sediment in the persistence of enteroviruses in the estuarine environment.

    E M Smith;C P Gerba;J L Melnick

  • Simian rotavirus SA11 replication in cell cultures.

    M K Estes;D Y Graham;C P Gerba;E M Smith

  • An ACTH receptor on human mononuclear leukocytes. Relation to adrenal ACTH-receptor activity.

    E M Smith;P Brosnan;W J Meyer;J E Blalock

  • Development of a method for detection of human rotavirus in water and sewage.

    E M Smith;C P Gerba

  • The immune system: our mobile brain?

    J.Edwin Blalock;Eric M. Smith

  • Interleukin-6 alters sleep of rats

    Dale Hogan;Jonathan D Morrow;Eric M Smith;Mark R Opp

  • A Complete Regulatory Loop between the Immune and Neuroendocrine Systems Operates Through Common Signal Molecules (Hormones) and Receptors

    Eric M. Smith;J. Edwin Blalock

Frequent Co-Authors

George B. Stefano
George B. Stefano Charles University
Kenneth L. Bost
Kenneth L. Bost University of North Carolina at Charlotte
Mark R. Opp
Mark R. Opp University of Colorado Boulder
Charles P. Gerba
Charles P. Gerba University of Arizona
J. Edwin Blalock
J. Edwin Blalock University of Alabama at Birmingham
Stephen K. Tyring
Stephen K. Tyring The University of Texas Health Science Center at Houston
Joseph L. Melnick
Joseph L. Melnick Baylor College of Medicine
David Y. Graham
David Y. Graham Baylor College of Medicine
Mary K. Estes
Mary K. Estes Baylor College of Medicine
Sagar M. Goyal
Sagar M. Goyal University of Minnesota

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying immunology opens diverse opportunities, especially when combined with advanced nursing qualifications. Many professionals seek online pathways to enhance their expertise and transition into specialized roles. For instance, enrolling in an fnp to acnp bridge program online is a strategic step for those wanting to move from Family Nurse Practitioner (FNP) roles to Acute Care Nurse Practitioner (ACNP) positions, expanding their clinical scope in immunology-related care.

Accelerated programs are particularly appealing for those eager to advance quickly. Options such as accelerated fnp programs enable students to earn their FNP credentials faster, making it easier to integrate immunology concepts into their practice. For individuals without a nursing background, 12-month accelerated nursing programs online for non nurses offer a fast-track entry into the nursing field, providing foundational knowledge that complements immunological studies.

Additionally, those seeking straightforward admission paths may benefit from exploring accelerated nursing programs that balance accessibility with rigorous training. Combining these nursing credentials with immunology expertise equips graduates for impactful roles in healthcare, research, and clinical settings focused on immune system health and diseases.

Best Scientists Citing Eric M. Smith

Trending Scientists

Recently Published Articles