Anthony Gitter

5.5k total citations
66 papers, 1.7k citations indexed

About

Anthony Gitter is a scholar working on Molecular Biology, Social Psychology and Computational Theory and Mathematics. According to data from OpenAlex, Anthony Gitter has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Social Psychology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Anthony Gitter's work include Bioinformatics and Genomic Networks (19 papers), Gene Regulatory Network Analysis (10 papers) and Computational Drug Discovery Methods (7 papers). Anthony Gitter is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Gene Regulatory Network Analysis (10 papers) and Computational Drug Discovery Methods (7 papers). Anthony Gitter collaborates with scholars based in United States, Israel and Singapore. Anthony Gitter's co-authors include Ziv Bar‐Joseph, Itamar Simon, David I. Mostofsky, Shengchao Liu, Yingyu Liang, Ernest Fraenkel, Judith Klein‐Seetharaman, Anupam Gupta, Philip A. Romero and Sarah A. Fahlberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Personality and Social Psychology.

In The Last Decade

Anthony Gitter

61 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anthony Gitter United States 22 1.0k 187 118 114 113 66 1.7k
John A. Bachman United States 20 655 0.6× 81 0.4× 73 0.6× 120 1.1× 39 0.3× 31 1.8k
Donald E. Walker United States 24 764 0.7× 95 0.5× 70 0.6× 37 0.3× 83 0.7× 74 2.8k
Juliet Popper Shaffer United States 17 565 0.5× 73 0.4× 142 1.2× 86 0.8× 136 1.2× 53 2.1k
Robert Nadon Canada 26 1.3k 1.2× 239 1.3× 80 0.7× 104 0.9× 164 1.5× 58 2.4k
Elias Chaibub Neto United States 15 648 0.6× 134 0.7× 84 0.7× 37 0.3× 256 2.3× 33 1.9k
Jeffrey R. Anderson United States 17 712 0.7× 146 0.8× 89 0.8× 134 1.2× 482 4.3× 55 1.8k
Anika Oellrich United Kingdom 17 831 0.8× 79 0.4× 68 0.6× 168 1.5× 299 2.6× 45 1.3k
Florian Prinz Germany 10 593 0.6× 131 0.7× 34 0.3× 25 0.2× 122 1.1× 16 1.6k
Henri Atlan Israel 23 647 0.6× 67 0.4× 21 0.2× 45 0.4× 154 1.4× 99 1.7k
Chris Miles United States 9 636 0.6× 42 0.2× 94 0.8× 55 0.5× 84 0.7× 12 1.2k

Countries citing papers authored by Anthony Gitter

Since Specialization
Citations

This map shows the geographic impact of Anthony Gitter'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 Anthony Gitter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Gitter more than expected).

Fields of papers citing papers by Anthony Gitter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony Gitter. 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 Anthony Gitter. The network helps show where Anthony Gitter may publish in the future.

Co-authorship network of co-authors of Anthony Gitter

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Gitter. A scholar is included among the top collaborators of Anthony Gitter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anthony Gitter. Anthony Gitter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Peters, John, et al.. (2025). Biophysics-based protein language models for protein engineering. Nature Methods. 22(9). 1868–1879. 5 indexed citations
2.
Liu, Shengchao, Yanjing Li, Anthony Gitter, et al.. (2025). A text-guided protein design framework. Nature Machine Intelligence. 7(4). 580–591. 10 indexed citations
3.
Mu, Fangzhou, et al.. (2022). An approachable, flexible and practical machine learning workshop for biologists. Bioinformatics. 38(Supplement_1). i10–i18. 3 indexed citations
4.
Yu, Peng, Spencer S. Ericksen, Anthony Gitter, & Michael A. Newton. (2022). Bayes Optimal Informer Sets for Early-Stage Drug Discovery. Biometrics. 79(2). 642–654.
5.
Baker, Steven F., Hélène Meistermann, Manuel Tzouros, et al.. (2022). Alternative splicing liberates a cryptic cytoplasmic isoform of mitochondrial MECR that antagonizes influenza virus. PLoS Biology. 20(12). e3001934–e3001934. 8 indexed citations
6.
Deshpande, Atul, Li‐Fang Chu, Ron Stewart, & Anthony Gitter. (2022). Network inference with Granger causality ensembles on single-cell transcriptomics. Cell Reports. 38(6). 110333–110333. 54 indexed citations
7.
Fahlberg, Sarah A., et al.. (2021). Neural networks to learn protein sequence–function relationships from deep mutational scanning data. Proceedings of the National Academy of Sciences. 118(48). 92 indexed citations
8.
Gitter, Anthony, et al.. (2021). Automating parameter selection to avoid implausible biological pathway models. npj Systems Biology and Applications. 7(1). 12–12. 6 indexed citations
9.
Chandereng, Thevaa & Anthony Gitter. (2020). Lag penalized weighted correlation for time series clustering. BMC Bioinformatics. 21(1). 21–21. 8 indexed citations
10.
Zhang, Huikun, Spencer S. Ericksen, Ching-pei Lee, et al.. (2019). Predicting kinase inhibitors using bioactivity matrix derived informer sets. PLoS Computational Biology. 15(8). e1006813–e1006813. 7 indexed citations
11.
Himmelstein, Daniel, Vincent Rubinetti, David R. Slochower, et al.. (2019). Open collaborative writing with Manubot. PLoS Computational Biology. 15(6). e1007128–e1007128. 40 indexed citations
12.
MacGilvray, Matthew E., Evgenia Shishkova, Deborah Chasman, et al.. (2018). Network inference reveals novel connections in pathways regulating growth and defense in the yeast salt response. PLoS Computational Biology. 13(5). e1006088–e1006088. 15 indexed citations
13.
Hu, Alex, Terri A. DiMaio, Anthony Gitter, et al.. (2017). Integrated systems biology analysis of KSHV latent infection reveals viral induction and reliance on peroxisome mediated lipid metabolism. PLoS Pathogens. 13(3). e1006256–e1006256. 54 indexed citations
14.
Gitter, Anthony & Ziv Bar‐Joseph. (2013). Identifying proteins controlling key disease signaling pathways. Bioinformatics. 29(13). i227–i236. 22 indexed citations
15.
Gitter, Anthony, Miri Carmi, Naama Barkai, & Ziv Bar‐Joseph. (2012). Linking the signaling cascades and dynamic regulatory networks controlling stress responses. Genome Research. 23(2). 365–376. 51 indexed citations
16.
Navlakha, Saket, Anthony Gitter, & Ziv Bar‐Joseph. (2012). A Network-based Approach for Predicting Missing Pathway Interactions. PLoS Computational Biology. 8(8). e1002640–e1002640. 27 indexed citations
17.
Gitter, Anthony, Judith Klein‐Seetharaman, Anupam Gupta, & Ziv Bar‐Joseph. (2010). Discovering pathways by orienting edges in protein interaction networks. Nucleic Acids Research. 39(4). e22–e22. 78 indexed citations
18.
Gitter, Anthony, et al.. (1980). Communication : a guide to information sources. 1 indexed citations
19.
Gitter, Anthony. (1975). Effect of Race, Sex, Nonverbal Communication and Verbal Communication of Perception of Leadership.. 2 indexed citations
20.
Kozel, Nicholas J. & Anthony Gitter. (1968). Perception of Emotion: Differences in Mode of Presentation, Sex of Perceiver, and Race of Expressor.. 1(3200). 677–677. 13 indexed citations

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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