Tom Tang
Impact in
- Genetics top 5%
- Inflammatory Bowel Disease
- Genetic and phenotypic traits in livestock
- Agronomy and Crop Science top 5%
- Crop Yield and Soil Fertility
Papers in
- Genetics 7
- Inflammatory Bowel Disease 4
- Genetic and phenotypic traits in livestock 3
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- Crop Yield and Soil Fertility 3
- Co-authors
- Carlos Messina (15 shared papers)Mark Cooper (12 shared papers)Carla Gho (9 shared papers)Walter D. Funk (2 shared papers)Minke E. Binnerts (2 shared papers)Graeme Hammer (5 shared papers)Kazuma Tomizuka (1 shared paper)Makoto Kakitani (1 shared paper)
- Journals
- Crop Science (4 papers)Blood (3 papers)Journal of Experimental Botany (3 papers)The American Journal of Gastroenterology (2 papers)Theoretical and Applied Genetics (2 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Tom Tang
34 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 67
- Genetics 285
- Agronomy and Crop Science 102
- Plant Science 331
- Complementary and alternative medicine 58
- Pathology and Forensic Medicine 73
Countries citing papers authored by Tom Tang
This map shows the geographic impact of Tom Tang'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 Tom Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Tang more than expected).
Fields of papers citing papers by Tom Tang
This network shows the impact of papers produced by Tom Tang. 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 Tom Tang. The network helps show where Tom Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 494 | |
| 2 | 2014 | 338 | |
| 3 | 2018 | 170 | |
| 4 | 2019 | 170 | |
| 5 | 2012 | 131 | |
| 6 | 2020 | 101 | |
| 7 | 2010 | 98 | |
| 8 | 2021 | 86 | |
| 9 | 2004 | 65 | |
| 10 | 2021 | 44 | |
| 11 | 2021 | 42 | |
| 12 | 2022 | 39 | |
| 13 | 2023 | 34 | |
| 14 | 2019 | 31 | |
| 15 | 2022 | 29 | |
| 16 | 2023 | 29 | |
| 17 | 2022 | 21 | |
| 18 | 2004 | 19 | |
| 19 | 2022 | 18 | |
| 20 | 2003 | 17 |
About Tom Tang
Tom Tang is a scholar working on Genetics, Agronomy and Crop Science, Plant Science, Ocean Engineering and Pathology and Forensic Medicine, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (4 papers), Genetics and Plant Breeding (4 papers), Crop Yield and Soil Fertility (3 papers), Genetic and phenotypic traits in livestock (3 papers), Enhanced Oil Recovery Techniques (2 papers), Genetically Modified Organisms Research (2 papers), Neutropenia and Cancer Infections (2 papers) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Genetics (285 citations), Agronomy and Crop Science (102 citations), Plant Science (331 citations), Complementary and alternative medicine (58 citations) and Pathology and Forensic Medicine (73 citations). Tom Tang has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Carlos Messina, Mark Cooper, Carla Gho, Walter D. Funk, Minke E. Binnerts, Graeme Hammer, Kazuma Tomizuka, Makoto Kakitani, Peter C. R. Emtage and Jingsong Zhao. Their work appears in journals such as Crop Science, Blood, Journal of Experimental Botany, The American Journal of Gastroenterology and Theoretical and Applied Genetics.
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.