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D-Index & Metrics

Molecular Biology

D-Index
55
Citations
20686
World Ranking
2241
National Ranking
23

Tamar Geiger publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Tamar Geiger sits on this spectrum.

47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47 publications 564+

This scientist: 130 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

Tamar Geiger D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Tamar Geiger sits on this spectrum.

40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40 D-Index 145+

This scientist: 55 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

Overview

Tamar Geiger is affiliated with Tel Aviv University in Israel and conducts research primarily in the fields of Biochemistry, Genetics and Molecular Biology, with a substantial focus on Medicine. Their work spans multiple subfields including Molecular Biology, Cancer Research, Oncology, Spectroscopy, and Immunology.

Tamar Geiger's research covers a range of topics, prominently featuring:

  • Cancer Genomics and Diagnostics
  • Advanced Proteomics Techniques and Applications
  • Cancer, Hypoxia, and Metabolism
  • RNA Research and Splicing
  • RNA Modifications and Cancer
  • Single-cell and Spatial Transcriptomics
  • Ferroptosis and Cancer Prognosis

The recent research output includes several peer-reviewed papers published primarily between 2020 and 2021, illustrating the scientist's involvement in cutting-edge molecular and cancer biology fields. Notable publications are:

  • Spatiotemporal Proteomic Analysis of Stress Granule Disassembly Using APEX Reveals Regulation by SUMOylation and Links to ALS Pathogenesis, 2020, Molecular Cell
  • Anti-tumour immunity induces aberrant peptide presentation in melanoma, 2020, Nature
  • PDZD8 interacts with Protrudin and Rab7 at ER-late endosome membrane contact sites associated with mitochondria, 2020, Nature Communications
  • Metastasis-Entrained Eosinophils Enhance Lymphocyte-Mediated Antitumor Immunity, 2021, Cancer Research
  • Proteomic patterns associated with response to breast cancer neoadjuvant treatment, 2020, Molecular Systems Biology

Tamar Geiger collaborates frequently with a core group of coauthors, including Gali Arad, Michal Harel, Anjana Shenoy, Iris Barshack, and Georgina D. Barnabas. These collaborations are reflected in joint publications and research efforts.

The scholar's research is disseminated in several venues, with the most frequent being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • Nature Communications
  • Cell Reports
  • Nature Methods

Best Publications

  • The Perseus computational platform for comprehensive analysis of (prote)omics data.

    Stefka Tyanova;Tikira Temu;Pavel Sinitcyn;Arthur Carlson

  • Deep proteome and transcriptome mapping of a human cancer cell line

    Nagarjuna Nagaraj;Jacek R Wisniewski;Tamar Geiger;Juergen Cox

  • Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins

    Tamar Geiger;Anja Wehner;Christoph Schaab;Juergen Cox

  • Super-SILAC mix for quantitative proteomics of human tumor tissue

    Tamar Geiger;Juergen Cox;Pawel Ostasiewicz;Jacek R Wisniewski

  • Defining the transcriptome and proteome in three functionally different human cell lines

    Emma Lundberg;Linn Fagerberg;Daniel Klevebring;Ivan Matic

  • Deep and Highly Sensitive Proteome Coverage by LC-MS/MS Without Prefractionation

    Suman S. Thakur;Tamar Geiger;Bhaswati Chatterjee;Peter Bandilla

  • A Dynamic Interface between Vacuoles and Mitochondria in Yeast

    Yael Elbaz-Alon;Eden Rosenfeld-Gur;Vera Shinder;Anthony H. Futerman

  • Use of stable isotope labeling by amino acids in cell culture as a spike-in standard in quantitative proteomics

    Tamar Geiger;Jacek R Wisniewski;Juergen Cox;Sara Zanivan

  • Proteomics of Melanoma Response to Immunotherapy Reveals Mitochondrial Dependence

    Michal Harel;Rona Ortenberg;Rona Ortenberg;Siva Karthik Varanasi;Kailash Chandra Mangalhara

  • Tumor macrophages are pivotal constructors of tumor collagenous matrix.

    Ran Afik;Ehud Zigmond;Milena Vugman;Mordehay Klepfish

  • Proteomic maps of breast cancer subtypes

    Stefka Tyanova;Reidar Albrechtsen;Pauliina Kronqvist;Juergen Cox

  • Predicting Cancer-Specific Vulnerability via Data-Driven Detection of Synthetic Lethality

    Livnat Jerby-Arnon;Nadja Pfetzer;Yedael Y. Waldman;Lynn McGarry

  • Proteomics on an Orbitrap Benchtop Mass Spectrometer Using All-ion Fragmentation

    Tamar Geiger;Juergen Cox;Matthias Mann

  • Initial Quantitative Proteomic Map of 28 Mouse Tissues Using the SILAC Mouse

    Tamar Geiger;Ana Velic;Boris Macek;Emma Lundberg

  • Lam6 Regulates the Extent of Contacts between Organelles

    Yael Elbaz-Alon;Michal Eisenberg-Bord;Vera Shinder;Sebastian Berthold Stiller

  • Analysis of High Accuracy, Quantitative Proteomics Data in the MaxQB Database

    Christoph Schaab;Tamar Geiger;Gabriele Stoehr;Juergen Cox

  • Solid tumor proteome and phosphoproteome analysis by high resolution mass spectrometry.

    Sara Zanivan;Florian Gnad;Sara A. Wickstrom;Tamar Geiger

  • Proteomic portrait of human breast cancer progression identifies novel prognostic markers.

    Tamar Geiger;Stephen F. Madden;William M. Gallagher;Juergen Cox

  • Metabolic Associations of Reduced Proliferation and Oxidative Stress in Advanced Breast Cancer

    Livnat Jerby;Lior Wolf;Carsten Denkert;Gideon Y Stein

  • Spatio-Temporal Proteomic Analysis of Stress Granule Disassembly Using APEX Reveals Regulation by SUMOylation and Links to ALS Pathogenesis

    Hagai Marmor Kollet;Aviad Siany;Nancy Kedersha;Naama Knafo

Frequent Co-Authors

Matthias Mann
Matthias Mann Max Planck Institute of Biochemistry
Michal Harel
Michal Harel Weizmann Institute of Science
Eytan Ruppin
Eytan Ruppin National Institutes of Health
Iris Barshack
Iris Barshack Sheba Medical Center
Jürgen Cox
Jürgen Cox Max Planck Society
Orna Elroy-Stein
Orna Elroy-Stein Tel Aviv University
Irit Sagi
Irit Sagi Weizmann Institute of Science
Alexander Levitzki
Alexander Levitzki Hebrew University of Jerusalem
Roded Sharan
Roded Sharan Tel Aviv University
Paolo Milani
Paolo Milani University of Milan

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