Thomas E. Dorman
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 10%
- Fungal and yeast genetics research
- Cancer therapeutics and mechanisms
- RNA and protein synthesis mechanisms
- Signaling Pathways in Disease
Papers in
-
- Gene expression and cancer classification 2
- Fungal and yeast genetics research 2
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 2
- Melanoma and MAPK Pathways 1
- Genetics 3
- Animal Genetics and Reproduction 1
- Co-authors
- Donald T. Moir (8 shared papers)Adam Antebi (1 shared paper)Gerald R. Fink (1 shared paper)Catherine M. Buckley (1 shared paper)Hans K. Rudolph (1 shared paper)Lance S. Davidow (1 shared paper)Jen-i Mao (5 shared papers)Stanley T. Crooke (1 shared paper)
- Journals
- Genomics (5 papers)Gene (2 papers)Journal of Bacteriology (1 paper)Cell (1 paper)PubMed (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Thomas E. Dorman
10 papers receiving 793 citations
Peers
Comparison fields: 5 of 73
- Cell Biology 201
- Molecular Biology 662
- Toxicology 30
- Oncology 105
- Aging 7
Countries citing papers authored by Thomas E. Dorman
This map shows the geographic impact of Thomas E. Dorman'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 E. Dorman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Dorman more than expected).
Fields of papers citing papers by Thomas E. Dorman
This network shows the impact of papers produced by Thomas E. Dorman. 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 E. Dorman. The network helps show where Thomas E. Dorman may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas E. Dorman, 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 | 1989 | 482 | |
| 2 | Topoisomerase II alpha and topoisomerase II beta genes: characterization and mapping to human chromosomes 17 and 3, respectively. | 1992 | 143 |
| 3 | 1994 | 50 | |
| 4 | 1995 | 41 | |
| 5 | 1996 | 34 | |
| 6 | 2001 | 29 | |
| 7 | 1994 | 11 | |
| 8 | 1994 | 10 | |
| 9 | 1993 | 10 | |
| 10 | 1993 | 4 |
About Thomas E. Dorman
Thomas E. Dorman is a scholar working on Molecular Biology, Genetics, Plant Science, Cell Biology and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 814 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (3 papers), Gene expression and cancer classification (2 papers), Fungal and yeast genetics research (2 papers), CRISPR and Genetic Engineering (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Animal Genetics and Reproduction (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Cell Biology (201 citations), Molecular Biology (662 citations), Toxicology (30 citations), Oncology (105 citations) and Aging (7 citations). Thomas E. Dorman has collaborated with scholars based in United States and France. Frequent co-authors include Donald T. Moir, Adam Antebi, Gerald R. Fink, Catherine M. Buckley, Hans K. Rudolph, Lance S. Davidow, Jen-i Mao, Stanley T. Crooke, Thomas D.Y. Chung and Christopher K. Mirabelli. Their work appears in journals such as Genomics, Gene, Journal of Bacteriology, Cell and PubMed.
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.