Gideon Schreiber

19.5k citations
142 papers · 11.7k indexed · 3 hit papers · h-index 61

Impact in

  • Immunology top 1%
    • interferon and immune responses
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms

Papers in

    • interferon and immune responses 34
    • Cytokine Signaling Pathways and Interactions 41

Gideon Schreiber

140 papers receiving 11.6k citations

Hit Papers

SARS-CoV-2 variant prediction and antiviral drug design are enabled by RBD in vitro evolution 2021 · 230 citations
2302009202620142020100200300400500

Peers

Gideon Schreiber
Comparison fields: 5 of 161
  • Immunology 2.4k
  • Molecular Biology 7.7k
  • Oncology 1.7k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Cell Biology 811
Replace John E. Ladbury with:
John E. Ladbury United Kingdom
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D.A. Keedy United States
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Jiansheng Jiang United States
Guang Zhu Hong Kong
G.T. Montelione United States
Geerten W. Vuister Netherlands
Gideon Schreiber relative to John E. Ladbury United Kingdom John E. Ladbury's profile →
Citations per field
00.5×1.5×1.8×
John E. Ladbury · 1×
Citations per year

Countries citing papers authored by Gideon Schreiber

Since Specialization
Citations

This map shows the geographic impact of Gideon Schreiber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gideon Schreiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gideon Schreiber more than expected).

Fields of papers citing papers by Gideon Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gideon Schreiber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gideon Schreiber. The network helps show where Gideon Schreiber may publish in the future.

Co-authors

The 25 scholars most cited alongside Gideon Schreiber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gideon Schreiber Line = papers co-authored together Gideon Schreiber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 202212
3 202220
4 20215
5 202184
6
SARS-CoV-2 variant prediction and antiviral drug design are enabled by RBD in vitro evolution
Hit paper breakdown →
2021230
7 2015144
8 201431
9 201184
10 201050
11 200982
12 200916
13 200940
14 200835
15 2008101
16 2006193
17 200650
18 2004197
19 200368
20 1997128

About Gideon Schreiber

Gideon Schreiber is a scholar working on Immunology, Oncology, Molecular Biology, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 142 papers that have together received 11.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (51 papers), Cytokine Signaling Pathways and Interactions (41 papers), Enzyme Structure and Function (35 papers), interferon and immune responses (34 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), RNA and protein synthesis mechanisms (12 papers), Computational Drug Discovery Methods (12 papers) and Bacterial Genetics and Biotechnology (12 papers). The work is most often cited by research in Immunology (2.4k citations), Molecular Biology (7.7k citations), Oncology (1.7k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Cell Biology (811 citations). Gideon Schreiber has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Alan R. Fersht, Jacob Piehler, Gilad Haran, Huan‐Xiang Zhou, Tzvia Selzer, Shira Albeck, Hani Neuvirth, A.R. Fersht, Ashley M. Buckle and Yael Phillip. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences and Current Opinion in Structural Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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