Vern Twombly
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Developmental Biology and Gene Regulation
- TGF-β signaling in diseases
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
Papers in
-
- Developmental Biology and Gene Regulation 7
- TGF-β signaling in diseases 6
- Cancer-related gene regulation 2
- Bone Metabolism and Diseases 2
- Wnt/β-catenin signaling in development and cancer 1
- Hedgehog Signaling Pathway Studies 1
- Co-authors
- William M Gelbart (6 shared papers)Laurel A. Raftery (2 shared papers)Kristi A. Wharton (2 shared papers)Michael B. O’Connor (2 shared papers)Joan Massagué (2 shared papers)Jeffrey L. Wrana (2 shared papers)F. Michael Hoffmann (2 shared papers)Hui Jin (1 shared paper)
- Journals
- Development (3 papers)Cell (2 papers)Genetics (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Mechanisms of Development (1 paper)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Vern Twombly
9 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Aging 34
- Molecular Biology 1.1k
- Cell Biology 237
- Cellular and Molecular Neuroscience 164
- Genetics 148
Countries citing papers authored by Vern Twombly
This map shows the geographic impact of Vern Twombly'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 Vern Twombly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vern Twombly more than expected).
Fields of papers citing papers by Vern Twombly
This network shows the impact of papers produced by Vern Twombly. 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 Vern Twombly. The network helps show where Vern Twombly may publish in the future.
Co-authors
The 25 scholars most cited alongside Vern Twombly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 279 | |
| 2 | 1995 | 251 | |
| 3 | 1995 | 241 | |
| 4 | 1996 | 189 | |
| 5 | 1997 | 71 | |
| 6 | 1997 | 49 | |
| 7 | 1997 | 31 | |
| 8 | 1987 | 27 | |
| 9 | 2009 | 20 |
About Vern Twombly
Vern Twombly is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Rheumatology, Cell Biology and Genetics, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), TGF-β signaling in diseases (6 papers), Cancer-related gene regulation (2 papers), Bone Metabolism and Diseases (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Hedgehog Signaling Pathway Studies (1 paper) and Heterotopic Ossification and Related Conditions (1 paper). The work is most often cited by research in Aging (34 citations), Molecular Biology (1.1k citations), Cell Biology (237 citations), Cellular and Molecular Neuroscience (164 citations) and Genetics (148 citations). Vern Twombly has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include William M Gelbart, Laurel A. Raftery, Kristi A. Wharton, Michael B. O’Connor, Joan Massagué, Jeffrey L. Wrana, F. Michael Hoffmann, Hui Jin, Ronald K. Blackman and Jonathan M. Graff. Their work appears in journals such as Development, Cell, Genetics, Cold Spring Harbor Symposia on Quantitative Biology and Mechanisms of Development.
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.