John C. Gerhart

17.6k total citations · 5 hit papers
108 papers, 12.1k citations indexed

About

John C. Gerhart is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, John C. Gerhart has authored 108 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 23 papers in Cell Biology and 15 papers in Genetics. Recurrent topics in John C. Gerhart's work include Developmental Biology and Gene Regulation (39 papers), Reproductive Biology and Fertility (10 papers) and Microtubule and mitosis dynamics (10 papers). John C. Gerhart is often cited by papers focused on Developmental Biology and Gene Regulation (39 papers), Reproductive Biology and Fertility (10 papers) and Microtubule and mitosis dynamics (10 papers). John C. Gerhart collaborates with scholars based in United States, United Kingdom and France. John C. Gerhart's co-authors include Marc W. Kirschner, Arthur B. Pardee, H. K. Schachman, Richard M. Harland, Michelle Wu, Christopher J. Lowe, J.P. Vincent, Michael Wu, Robert L. Gimlich and Ronald M. Stewart and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John C. Gerhart

108 papers receiving 11.2k citations

Hit Papers

The Enzymology of Control by Feedback Inhibition 1962 2026 1983 2004 1962 1998 1997 1984 1965 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John C. Gerhart United States 54 8.5k 3.0k 1.7k 976 929 108 12.1k
Joram Piatigorsky United States 63 12.1k 1.4× 2.4k 0.8× 2.2k 1.3× 618 0.6× 620 0.7× 292 14.9k
Michael J. Smith Canada 70 11.3k 1.3× 1.5k 0.5× 3.4k 2.0× 722 0.7× 246 0.3× 271 18.9k
I. R. Gibbons United States 52 6.5k 0.8× 5.6k 1.9× 1.4k 0.8× 334 0.3× 717 0.8× 130 10.7k
John G. White United States 57 8.0k 0.9× 4.0k 1.3× 1.1k 0.6× 1.0k 1.1× 1.2k 1.3× 150 18.4k
William F. Loomis United States 65 7.6k 0.9× 7.9k 2.7× 711 0.4× 280 0.3× 252 0.3× 256 14.3k
Sergey Lukyanov Russia 59 12.1k 1.4× 1.4k 0.5× 1.8k 1.1× 950 1.0× 236 0.3× 150 18.7k
François Jacob France 41 9.3k 1.1× 1.2k 0.4× 3.3k 1.9× 954 1.0× 350 0.4× 90 13.6k
Julian Lewis United Kingdom 53 11.7k 1.4× 3.1k 1.0× 1.8k 1.0× 380 0.4× 229 0.2× 167 16.8k
Yuji Kohara Japan 54 8.3k 1.0× 591 0.2× 3.3k 1.9× 306 0.3× 445 0.5× 123 11.9k
Sydney Brenner United Kingdom 88 25.3k 3.0× 3.3k 1.1× 8.0k 4.6× 1.7k 1.7× 1.1k 1.2× 305 45.1k

Countries citing papers authored by John C. Gerhart

Since Specialization
Citations

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

Fields of papers citing papers by John C. Gerhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Gerhart. 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 John C. Gerhart. The network helps show where John C. Gerhart may publish in the future.

Co-authorship network of co-authors of John C. Gerhart

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Gerhart. A scholar is included among the top collaborators of John C. Gerhart 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 John C. Gerhart. John C. Gerhart 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.
Pani, Ariel M., et al.. (2023). Molecular characterization of nervous system organization in the hemichordate acorn worm Saccoglossus kowalevskii. PLoS Biology. 21(9). e3002242–e3002242. 5 indexed citations
2.
Darras, Sébastien, Jens H. Fritzenwanker, Kevin R. Uhlinger, et al.. (2018). Anteroposterior axis patterning by early canonical Wnt signaling during hemichordate development. PLoS Biology. 16(1). e2003698–e2003698. 55 indexed citations
3.
Kirschner, Marc W. & John C. Gerhart. (2017). The Plausibility of Life. Yale University Press eBooks. 52 indexed citations
4.
Peshkin, Leonid, Martin Wühr, Esther J. Pearl, et al.. (2015). On the Relationship of Protein and mRNA Dynamics in Vertebrate Embryonic Development. Developmental Cell. 35(3). 383–394. 161 indexed citations
5.
Freeman, Robert M., Tetsuro Ikuta, Michael Wu, et al.. (2012). Identical Genomic Organization of Two Hemichordate Hox Clusters. Current Biology. 22(21). 2053–2058. 37 indexed citations
6.
Lemons, Derek, Jens H. Fritzenwanker, John C. Gerhart, Christopher J. Lowe, & William McGinnis. (2010). Co-option of an anteroposterior head axis patterning system for proximodistal patterning of appendages in early bilaterian evolution. Developmental Biology. 344(1). 358–362. 35 indexed citations
8.
Lowe, Christopher J., Kunifumi Tagawa, Tom Humphreys, Marc W. Kirschner, & John C. Gerhart. (2004). Hemichordate Embryos: Procurement, Culture, and Basic Methods. Methods in cell biology. 74. 171–194. 51 indexed citations
9.
Lowe, Christopher J., Mike Wu, Adrian Salic, et al.. (2003). Anteroposterior Patterning in Hemichordates and the Origins of the Chordate Nervous System. Cell. 113(7). 853–865. 373 indexed citations
10.
Gerhart, John C.. (2001). Evolution of the organizer and the chordate body plan. The International Journal of Developmental Biology. 45(1). 133–153. 46 indexed citations
11.
Kirschner, Marc W., John C. Gerhart, & Tim Mitchison. (2000). Molecular “Vitalism”. Cell. 100(1). 79–88. 129 indexed citations
12.
Gerhart, John C.. (1999). Pieter Nieuwkoop's contributions to the understanding of meso-endoderm induction and neural induction in chordate development. The International Journal of Developmental Biology. 43(7). 605–613. 10 indexed citations
13.
Zoltewicz, J. Susie & John C. Gerhart. (1997). The Spemann Organizer ofXenopusIs Patterned along Its Anteroposterior Axis at the Earliest Gastrula Stage. Developmental Biology. 192(2). 482–491. 74 indexed citations
14.
Gerhart, John C.. (1995). Summing up: conservation and diversification in metazoan eukaryotic cells. Philosophical Transactions of the Royal Society B Biological Sciences. 349(1329). 333–336. 1 indexed citations
15.
Wu, Michelle & John C. Gerhart. (1991). Chapter 1 Raising Xenopus in the Laboratory. Methods in cell biology. 36. 3–18. 89 indexed citations
16.
Stewart, Ronald M. & John C. Gerhart. (1991). Induction of notochord by the organizer inXenopus. Development Genes and Evolution. 199(6). 341–348. 15 indexed citations
17.
Leaf, David S., Susan Jo Roberts, John C. Gerhart, & Hsiao-Ping H. Moore. (1990). The secretory pathway is blocked between the trans-Golgi and the plasma membrane during meiotic maturation in Xenopus oocytes. Developmental Biology. 141(1). 1–12. 45 indexed citations
18.
Gerhart, John C.. (1989). Embryonic Development: Toward a Synthesis. (Book Reviews: Topobiology). Scientia Forestalis. 243(4896). 1373–1374. 1 indexed citations
19.
Rowning, Brian A., et al.. (1989). Hyperdorsoanterior embryos from Xenopus eggs treated with D2O. Developmental Biology. 134(1). 175–188. 38 indexed citations
20.
Gerhart, John C. & Arthur B. Pardee. (1963). The Effect of the Feedback Inhibitor, CTP, on Subunit Interactions in Aspartate Transcarbamylase. Cold Spring Harbor Symposia on Quantitative Biology. 28(0). 491–496. 134 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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