John C. Sisson

2.6k citations
17 papers · 2.3k indexed · 1 hit paper · h-index 15

John C. Sisson

17 papers receiving 2.2k citations

Hit Papers

Transcriptional autoregulation of the proto-oncogene fos5571988202620002013100200300400500

Peers

John C. Sisson
Comparison fields: 5 of 101
  • Cell Biology 874
  • Aging 46
  • Molecular Biology 1.8k
  • Developmental Biology 43
  • Cellular and Molecular Neuroscience 311
Replace Scott T. Dougan with:
Scott T. Dougan United States
Martin Schwander United States
Alicia Hidalgo United Kingdom
Michael D. Weston United States
Mario R. Capecchi United States
Edmund J. Koundakjian United States
Tatsuo Michiue Japan
Stephen O’Gorman United States
Kaye Suyama United States
Claudia Gerri United Kingdom
John C. Sisson relative to Scott T. Dougan United States Scott T. Dougan's profile →
Citations per field
00.5×2.7×
Scott T. Dougan · 1×
Citations per year

Countries citing papers authored by John C. Sisson

Since Specialization
Citations

This map shows the geographic impact of John C. Sisson'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. Sisson 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. Sisson more than expected).

Fields of papers citing papers by John C. Sisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside John C. Sisson, 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 John C. Sisson Line = papers co-authored together John C. Sisson links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201017
2 201038
3 200915
4 200725
5 20077
6 200631
7 200599
8 200586
9 200564
10 200522
11 2003233
12 2000246
13 19999
14 1999200
15 1997314
16 1997287
17
Transcriptional autoregulation of the proto-oncogene fosbreakdown →
1988557

About John C. Sisson

John C. Sisson is a scholar working on Cell Biology, Molecular Biology, Genetics, Biotechnology and Condensed Matter Physics, having authored 17 papers that have together received 2.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), RNA modifications and cancer (5 papers), Cellular transport and secretion (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Developmental Biology and Gene Regulation (4 papers), Hedgehog Signaling Pathway Studies (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cell Biology (874 citations), Aging (46 citations), Molecular Biology (1.8k citations), Developmental Biology (43 citations) and Cellular and Molecular Neuroscience (311 citations). John C. Sisson has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Inder M. Verma, Paolo Sassone‐Corsi, William Sullivan, Christine M. Field, Anne Royou, Kaye Suyama, Karen S. Ho, Matthew P. Scott, Ophelia Papoulas and Ryûji Kobayashi. Their work appears in journals such as The Journal of Cell Biology, Nature Cell Biology, Cell, Molecular Biology of the Cell and Cell Biology International.

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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