Robert M. Tombes
- Reproductive Medicine top 2%
- Cell Biology top 2%
- Microtubule and mitosis dynamics 8
- Cellular Mechanics and Interactions 6
- Zebrafish Biomedical Research Applications 4
- Physiology top 2%
- Aging top 5%
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling 9
- Developmental Biology and Gene Regulation 5
- Congenital heart defects research 4
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- Reproductive Biology and Fertility 6
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- Cancer-related Molecular Pathways 5
- Co-authors
- Bennett M. ShapiroGary G. BorisyGerald SchattenCalvin SimerlyJames M. TurbevilleDonner F. BabcockHarvey M. FlormanNeal L. First
- Partner nations
- United StatesTaiwanSwitzerland
In The Last Decade
Robert M. Tombes
53 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 119
- Reproductive Medicine 426
- Cell Biology 660
- Physiology 149
- Aging 51
- Molecular Biology 1.6k
Countries citing papers authored by Robert M. Tombes
This map shows the geographic impact of Robert M. Tombes'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 Robert M. Tombes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Tombes more than expected).
Fields of papers citing papers by Robert M. Tombes
This network shows the impact of papers produced by Robert M. Tombes. 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 Robert M. Tombes. The network helps show where Robert M. Tombes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert M. Tombes, 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 | 2024 | 2 | |
| 2 | 2019 | 5 | |
| 3 | 2016 | 2 | |
| 4 | 2015 | 3 | |
| 5 | 2013 | 9 | |
| 6 | 2009 | 33 | |
| 7 | 2008 | 47 | |
| 8 | 2006 | 22 | |
| 9 | 2003 | 14 | |
| 10 | Expression of beta and delta CaMK-II and cytoskeletal proteins in differentiating pre-neuronal P19 mouse embryonic cells | 2001 | 1 |
| 11 | 2001 | 40 | |
| 12 | 2000 | 21 | |
| 13 | 1999 | 26 | |
| 14 | 1998 | 25 | |
| 15 | 1997 | 59 | |
| 16 | 1997 | 61 | |
| 17 | G1 cell cycle arrest and apoptosis are induced in NIH 3T3 cells by KN-93, an inhibitor of CaMK-II (the multifunctional Ca2+/CaM kinase). | 1995 | 106 |
| 18 | 1994 | 42 | |
| 19 | 1989 | 203 | |
| 20 | 1988 | 23 |
About Robert M. Tombes
Robert M. Tombes is a scholar working on Cell Biology, Developmental Neuroscience and Molecular Biology, having authored 55 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Microtubule and mitosis dynamics (8 papers), Reproductive Biology and Fertility (6 papers), Cellular Mechanics and Interactions (6 papers), Cancer-related Molecular Pathways (5 papers), Developmental Biology and Gene Regulation (5 papers), Congenital heart defects research (4 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Reproductive Medicine (426 citations), Cell Biology (660 citations) and Physiology (149 citations). Robert M. Tombes has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Bennett M. Shapiro, Gary G. Borisy, Gerald Schatten, Calvin Simerly, James M. Turbeville, Donner F. Babcock, Harvey M. Florman, Neal L. First, George V. Vahouny and Marie M. Cassidy.
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.