World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
53
Citations
13695
World Ranking
3945
National Ranking
1807

Nicholas C. Wu 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 Nicholas C. Wu 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: 211 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Nicholas C. Wu 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 Nicholas C. Wu 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: 53 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Best Publications

  • A highly conserved cryptic epitope in the receptor binding domains of SARS-CoV-2 and SARS-CoV.

    Meng Yuan;Nicholas C. Wu;Xueyong Zhu;Chang Chun D. Lee

  • Isolation of potent SARS-CoV-2 neutralizing antibodies and protection from disease in a small animal model.

    Thomas F. Rogers;Thomas F. Rogers;Fangzhu Zhao;Deli Huang;Nathan Beutler

  • Structural basis of a shared antibody response to SARS-CoV-2.

    Meng Yuan;Hejun Liu;Nicholas C. Wu;Chang Chun D. Lee

  • Limiting Cholesterol Biosynthetic Flux Spontaneously Engages Type I IFN Signaling

    Autumn G. York;Kevin J. Williams;Joseph P. Argus;Quan D. Zhou

  • Cross-reactive Antibody Response between SARS-CoV-2 and SARS-CoV Infections.

    Huibin Lv;Nicholas C. Wu;Owen Tak Yin Tsang;Meng Yuan

  • Structure-guided multivalent nanobodies block SARS-CoV-2 infection and suppress mutational escape.

    Paul-Albert Koenig;Hrishikesh Das;Hejun Liu;Beate M. Kümmerer

  • Structural and functional ramifications of antigenic drift in recent SARS-CoV-2 variants.

    Meng Yuan;Deli Huang;Chang Chun D. Lee;Nicholas C. Wu

  • Serological assays for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), March 2020.

    Ranawaka A.P.M. Perera;Chris K.P. Mok;Owen T.Y. Tsang;Huibin Lv

  • A Therapeutic Non-self-reactive SARS-CoV-2 Antibody Protects from Lung Pathology in a COVID-19 Hamster Model.

    Jakob Kreye;S. Momsen Reincke;Hans Christian Kornau;Hans Christian Kornau;Elisa Sánchez-Sendin;Elisa Sánchez-Sendin;Elisa Sánchez-Sendin

  • A Broadly Neutralizing Antibody Targets the Dynamic HIV Envelope Trimer Apex via a Long, Rigidified, and Anionic β-Hairpin Structure

    Jeong Hyun Lee;Jeong Hyun Lee;Raiees Andrabi;Raiees Andrabi;Ching Yao Su;Anila Yasmeen

  • A structural explanation for the low effectiveness of the seasonal influenza H3N2 vaccine.

    Nicholas C. Wu;Seth J. Zost;Andrew J. Thompson;David Oyen

  • Cross-Neutralization of a SARS-CoV-2 Antibody to a Functionally Conserved Site Is Mediated by Avidity.

    Hejun Liu;Nicholas C. Wu;Meng Yuan;Sandhya Bangaru

  • Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants.

    Juhye M. Lee;Juhye M. Lee;John Huddleston;John Huddleston;Michael B. Doud;Michael B. Doud;Kathryn A. Hooper;Kathryn A. Hooper

  • Influenza Hemagglutinin Structures and Antibody Recognition

    Nicholas C. Wu;Ian A. Wilson

  • Recognition of the SARS-CoV-2 receptor binding domain by neutralizing antibodies.

    Meng Yuan;Hejun Liu;Nicholas C. Wu;Ian A. Wilson

  • A Perspective on the Structural and Functional Constraints for Immune Evasion: Insights from Influenza Virus.

    Nicholas C. Wu;Ian A. Wilson

  • An Alternative Binding Mode of IGHV3-53 Antibodies to the SARS-CoV-2 Receptor Binding Domain.

    Nicholas C. Wu;Meng Yuan;Hejun Liu;Chang Chun D. Lee

  • High-throughput profiling of influenza A virus hemagglutinin gene at single-nucleotide resolution

    Nicholas C. Wu;Arthur P. Young;Laith Q. Al-Mawsawi;C. Anders Olson

  • Bispecific antibodies targeting distinct regions of the spike protein potently neutralize SARS-CoV-2 variants of concern.

    Hyeseon Cho;Kristina Kay Gonzales-Wartz;Deli Huang;Meng Yuan

  • A highly conserved cryptic epitope in the receptor-binding domains of SARS-CoV-2 and SARS-CoV

    Meng Yuan;Nicholas C. Wu;Xueyong Zhu;Chang-Chun D. Lee

Frequent Co-Authors

Ian A. Wilson
Ian A. Wilson Scripps Research Institute
Ren Sun
Ren Sun University of California, Los Angeles
Xueyong Zhu
Xueyong Zhu Scripps Research Institute
Rogier W. Sanders
Rogier W. Sanders University of Amsterdam
Andrew B. Ward
Andrew B. Ward Scripps Research Institute
Dennis R. Burton
Dennis R. Burton Scripps Research Institute
Eleazar Eskin
Eleazar Eskin University of California, Los Angeles
Alexander Zelikovsky
Alexander Zelikovsky Georgia State University
Richard A. Lerner
Richard A. Lerner Scripps Research Institute
James O. Lloyd-Smith
James O. Lloyd-Smith University of California, Los Angeles

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:

Best Scientists Citing Nicholas C. Wu

Recently Published Articles