Stephen A. Chervitz

5.5k total citations
16 papers, 1.6k citations indexed

About

Stephen A. Chervitz is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Stephen A. Chervitz has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Ecology. Recurrent topics in Stephen A. Chervitz's work include Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (4 papers). Stephen A. Chervitz is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (4 papers). Stephen A. Chervitz collaborates with scholars based in United States, United Kingdom and Germany. Stephen A. Chervitz's co-authors include Joseph J. Falke, Randal B. Bass, Scott L. Butler, Mark A. Danielson, Catherine A. Ball, Kara Dolinski, Midori A. Harris, Selina S. Dwight, J. Michael Cherry and David Botstein and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Stephen A. Chervitz

16 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen A. Chervitz United States 13 1.3k 562 192 157 144 16 1.6k
Randal B. Bass United States 13 1.2k 1.0× 390 0.7× 195 1.0× 107 0.7× 89 0.6× 14 1.4k
Lisa A. Alex United States 9 1.1k 0.9× 505 0.9× 97 0.5× 334 2.1× 149 1.0× 9 1.5k
Richard P. Bowater United Kingdom 30 2.6k 2.0× 580 1.0× 367 1.9× 195 1.2× 217 1.5× 72 2.9k
James Mottonen United States 13 1.2k 1.0× 580 1.0× 78 0.4× 179 1.1× 185 1.3× 19 1.8k
Michael A. Brasch United States 15 1.6k 1.3× 393 0.7× 85 0.4× 201 1.3× 203 1.4× 21 2.0k
Aidan Budd Germany 18 1.6k 1.3× 459 0.8× 602 3.1× 177 1.1× 186 1.3× 31 2.8k
Stephen M. J. Searle United Kingdom 11 1.5k 1.2× 371 0.7× 74 0.4× 391 2.5× 160 1.1× 12 2.1k
James J. Schmidt United States 33 1.4k 1.1× 545 1.0× 518 2.7× 239 1.5× 139 1.0× 67 2.7k
Eugene Oh United States 16 2.2k 1.7× 488 0.9× 142 0.7× 100 0.6× 141 1.0× 29 2.6k
Hyun Kim Sweden 17 2.0k 1.6× 509 0.9× 152 0.8× 120 0.8× 131 0.9× 43 2.6k

Countries citing papers authored by Stephen A. Chervitz

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Chervitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Chervitz. 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 Stephen A. Chervitz. The network helps show where Stephen A. Chervitz may publish in the future.

Co-authorship network of co-authors of Stephen A. Chervitz

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

All Works

16 of 16 papers shown
1.
Yen, Jennifer, Sarah Garcia, Jason Harris, et al.. (2017). A variant by any name: quantifying annotation discordance across tools and clinical databases. Genome Medicine. 9(1). 7–7. 51 indexed citations
2.
Patwardhan, Anil, Michael J. Clark, Alex A. Morgan, et al.. (2013). VARIANT PRIORIZATION AND ANALYSIS INCORPORATING PROBLEMATIC REGIONS OF THE GENOME. PubMed. 277–287. 1 indexed citations
3.
Chervitz, Stephen A., Eric W. Deutsch, Dawn Field, et al.. (2011). Data Standards for Omics Data: The Basis of Data Sharing and Reuse. Methods in molecular biology. 719. 31–69. 53 indexed citations
4.
Helt, Gregg, Ed Erwin, Eric Blossom, et al.. (2009). Genoviz Software Development Kit: Java tool kit for building genomics visualization applications. BMC Bioinformatics. 10(1). 266–266. 20 indexed citations
5.
Bass, Randal B., Scott L. Butler, Stephen A. Chervitz, Susan L. Gloor, & Joseph J. Falke. (2007). Use of Site‐Directed Cysteine and Disulfide Chemistry to Probe Protein Structure and Dynamics: Applications to Soluble and Transmembrane Receptors of Bacterial Chemotaxis. Methods in enzymology on CD-ROM/Methods in enzymology. 423. 25–51. 73 indexed citations
6.
Liu, Guoying, Ann E. Loraine, Ron Shigeta, et al.. (2002). NetAffx. 147–150. 5 indexed citations
7.
Chervitz, Stephen A., Erich T. Hester, Catherine A. Ball, et al.. (1999). Using the Saccharomyces Genome Database (SGD) for analysis of protein similarities and structure. Nucleic Acids Research. 27(1). 74–78. 48 indexed citations
8.
Dolinski, Kara, Catherine A. Ball, Stephen A. Chervitz, et al.. (1998). Expanding yeast knowledge online. Yeast. 14(16). 1453–1469. 8 indexed citations
9.
Chervitz, Stephen A., L. Aravind, Gavin Sherlock, et al.. (1998). Comparison of the Complete Protein Sets of Worm and Yeast: Orthology and Divergence. Science. 282(5396). 2022–2028. 350 indexed citations
10.
Falke, Joseph J., Randal B. Bass, Scott L. Butler, Stephen A. Chervitz, & Mark A. Danielson. (1997). THE TWO-COMPONENT SIGNALING PATHWAY OF BACTERIAL CHEMOTAXIS: A Molecular View of Signal Transduction by Receptors, Kinases, and Adaptation Enzymes. Annual Review of Cell and Developmental Biology. 13(1). 457–512. 417 indexed citations
11.
Chervitz, Stephen A. & Joseph J. Falke. (1996). Molecular mechanism of transmembrane signaling by the aspartate receptor: a model.. Proceedings of the National Academy of Sciences. 93(6). 2545–2550. 203 indexed citations
12.
Chervitz, Stephen A., et al.. (1995). Transmembrane signaling by the aspartate receptor: Engineered disulfides reveal static regions of the subunit interface. Biochemistry. 34(30). 9722–9733. 84 indexed citations
13.
Chervitz, Stephen A. & Joseph J. Falke. (1995). Lock On/Off Disulfides Identify the Transmembrane Signaling Helix of the Aspartate Receptor. Journal of Biological Chemistry. 270(41). 24043–24053. 115 indexed citations
14.
Chervitz, Stephen A., et al.. (1993). Assembly of the Bacteriophage T4 Replication Machine Requires the Acidic Carboxy Terminus of Gene 32 Protein. Journal of Molecular Biology. 229(2). 398–418. 46 indexed citations
15.
Bourret, Robert B., Steven K. Drake, Stephen A. Chervitz, Melvin I. Simon, & Joseph J. Falke. (1993). Activation of the phosphosignaling protein CheY. II. Analysis of activated mutants by 19F NMR and protein engineering. Journal of Biological Chemistry. 268(18). 13089–13096. 85 indexed citations
16.
Dynan, William S. & Stephen A. Chervitz. (1989). Characterization of a minimal simian virus 40 late promoter: enhancer elements in the 72-base-pair repeat not required. Journal of Virology. 63(3). 1420–1427. 14 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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