Mark Gerstein

1.6k total citations
8 papers, 635 citations indexed

About

Mark Gerstein is a scholar working on Molecular Biology, Spectroscopy and Biophysics. According to data from OpenAlex, Mark Gerstein has authored 8 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Spectroscopy and 1 paper in Biophysics. Recurrent topics in Mark Gerstein's work include RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers) and RNA Research and Splicing (3 papers). Mark Gerstein is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers) and RNA Research and Splicing (3 papers). Mark Gerstein collaborates with scholars based in United States, United Kingdom and Spain. Mark Gerstein's co-authors include Amar Drawid, Roderic Guigó, Chao Cheng, Zhiping Weng, Xianjun Dong, T Gingeras, Sarah Djebali, Ewan Birney, Ronald Jansen and Anshul Kundaje and has published in prestigious journals such as Blood, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Mark Gerstein

7 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Gerstein United States 7 575 49 46 43 36 8 635
Catherine Snow United Kingdom 3 411 0.7× 53 1.1× 25 0.5× 73 1.7× 36 1.0× 3 544
Gernot Stocker Austria 9 369 0.6× 60 1.2× 39 0.8× 54 1.3× 20 0.6× 14 496
Sabrina Krueger United States 4 444 0.8× 53 1.1× 22 0.5× 41 1.0× 51 1.4× 5 536
Alberto Calderone Italy 12 521 0.9× 41 0.8× 43 0.9× 57 1.3× 17 0.5× 16 635
Maja Gehre Germany 6 416 0.7× 30 0.6× 100 2.2× 69 1.6× 59 1.6× 7 473
Lionel Breuza Switzerland 11 384 0.7× 53 1.1× 31 0.7× 25 0.6× 13 0.4× 18 517
Kenneth S. Sabir Australia 6 346 0.6× 44 0.9× 22 0.5× 48 1.1× 35 1.0× 8 417
J. Bradley Holmes United States 10 519 0.9× 55 1.1× 13 0.3× 30 0.7× 23 0.6× 13 589
Thilde Terkelsen Denmark 12 282 0.5× 33 0.7× 24 0.5× 95 2.2× 28 0.8× 18 387
Mădălina Giurgiu Germany 6 467 0.8× 56 1.1× 79 1.7× 59 1.4× 9 0.3× 7 561

Countries citing papers authored by Mark Gerstein

Since Specialization
Citations

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

Fields of papers citing papers by Mark Gerstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Gerstein

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Gerstein. A scholar is included among the top collaborators of Mark Gerstein 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 Mark Gerstein. Mark Gerstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Wang, Gaoyuan, et al.. (2024). Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs. Bioinformatics. 40(Supplement_2). ii111–ii119.
2.
Cheng, Chao, Roger P. Alexander, Renqiang Min, et al.. (2012). Understanding transcriptional regulation by integrative analysis of transcription factor binding data. Genome Research. 22(9). 1658–1667. 136 indexed citations
3.
Dong, Xianjun, Anshul Kundaje, Sarah Djebali, et al.. (2012). Modeling gene expression using chromatin features in various cellular contexts. Genome biology. 13(9). R53–R53. 189 indexed citations
4.
Lian, Zheng, Yuval Kluger, Dov Greenbaum, et al.. (2002). Genomic and proteomic analysis of the myeloid differentiation program: global analysis of gene expression during induced differentiation in the MPRO cell line. Blood. 100(9). 3209–3220. 72 indexed citations
5.
Gerstein, Mark. (2000). Integrative database analysis in structural genomics.. Nature Structural Biology. 7. 960–963. 39 indexed citations
6.
Drawid, Amar & Mark Gerstein. (2000). A Bayesian system integrating expression data with sequence patterns for localizing proteins: comprehensive application to the yeast genome. Journal of Molecular Biology. 301(4). 1059–1075. 115 indexed citations
7.
Drawid, Amar, Ronald Jansen, & Mark Gerstein. (2000). Genome-wide analysis relating expression level with protein subcellular localization. Trends in Genetics. 16(10). 426–430. 57 indexed citations
8.
Schmidt, Robert, Russ B. Altman, & Mark Gerstein. (1997). LPFC: An internet library of protein family core structures. Protein Science. 6(1). 246–248. 27 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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