Thomas C. Kaufman
- Aging top 0.5%
- Molecular Biology top 0.5%
- Developmental Biology and Gene Regulation 70
- Genomics and Chromatin Dynamics 26
- Insect Resistance and Genetics 15
- Genetics top 0.2%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 35
- Animal Genetics and Reproduction 18
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research 31
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 18
-
- Chromosomal and Genetic Variations 30
- Co-authors
- Cynthia L. HughesBarbara T. WakimotoArhat AbzhanovPaul Z. LiuAngela PattatucciDavid R. AngeliniElizabeth C. RaffMark A. Seeger
- Cited by
- AgingMolecular BiologyGenetics
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Thomas C. Kaufman
157 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Aging 328
- Molecular Biology 9.6k
- Genetics 3.7k
- Cellular and Molecular Neuroscience 2.1k
- Cell Biology 1.8k
Countries citing papers authored by Thomas C. Kaufman
This map shows the geographic impact of Thomas C. Kaufman'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 Thomas C. Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas C. Kaufman more than expected).
Fields of papers citing papers by Thomas C. Kaufman
This network shows the impact of papers produced by Thomas C. Kaufman. 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 Thomas C. Kaufman. The network helps show where Thomas C. Kaufman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas C. Kaufman, 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 | 2023 | 10 | |
| 2 | 2014 | 55 | |
| 3 | 2012 | 145 | |
| 4 | 2009 | 14 | |
| 5 | 2006 | 51 | |
| 6 | 2005 | 75 | |
| 7 | 2005 | 91 | |
| 8 | 2004 | 19 | |
| 9 | 2002 | 94 | |
| 10 | 2001 | 13 | |
| 11 | 2001 | 192 | |
| 12 | 1999 | 51 | |
| 13 | 1998 | 108 | |
| 14 | 1998 | 34 | |
| 15 | 1997 | 38 | |
| 16 | 1997 | 90 | |
| 17 | 1995 | 121 | |
| 18 | 1991 | 97 | |
| 19 | 1980 | 3 | |
| 20 | Mach bands are attenuated by adjacent bars or lines (A) | 1979 | 7 |
About Thomas C. Kaufman
Thomas C. Kaufman is a scholar working on Aging, Genetics and Molecular Biology, having authored 157 papers that have together received 11.9k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (70 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (35 papers), Neurobiology and Insect Physiology Research (31 papers), Chromosomal and Genetic Variations (30 papers), Genomics and Chromatin Dynamics (26 papers), Microtubule and mitosis dynamics (18 papers), Animal Genetics and Reproduction (18 papers) and Insect Resistance and Genetics (15 papers). The work is most often cited by research in Aging (328 citations), Molecular Biology (9.6k citations) and Genetics (3.7k citations). Thomas C. Kaufman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Cynthia L. Hughes, Barbara T. Wakimoto, Arhat Abzhanov, Paul Z. Liu, Angela Pattatucci, David R. Angelini, Elizabeth C. Raff, Mark A. Seeger, Matthew P. Scott and F. Rudolf Turner. Their work appears in journals such as Nature, Science and Cell.
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.