Deng‐Fu Guo
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 5%
- Physiology top 5%
- Co-authors
- Tadashi InagamiKamal RahmouniDonald A. MorganHiroaki FurutaVal C. SheffieldPavel HametYutaka KitamiShannon M. Harlan
- Topics
- Renin-Angiotensin System Studies (24 papers)Genetic and Kidney Cyst Diseases (23 papers)Genetic Syndromes and Imprinting (21 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Deng‐Fu Guo
89 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.9k
- Cardiology and Cardiovascular Medicine 1.4k
- Endocrinology, Diabetes and Metabolism 921
- Genetics 695
- Physiology 516
Countries citing papers authored by Deng‐Fu Guo
This map shows the geographic impact of Deng‐Fu Guo'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 Deng‐Fu Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deng‐Fu Guo more than expected).
Fields of papers citing papers by Deng‐Fu Guo
This network shows the impact of papers produced by Deng‐Fu Guo. 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 Deng‐Fu Guo. The network helps show where Deng‐Fu Guo may publish in the future.
Co-authorship network of co-authors of Deng‐Fu Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Deng‐Fu Guo. A scholar is included among the top collaborators of Deng‐Fu Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deng‐Fu Guo. Deng‐Fu Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | ISOLATION AND PRELIMINARY IDENTIFICATION OF RHABDOVIRUS FROM CHANNA MACULATA CULTURED IN POND | 4 |
| 10 | 34 | |
| 11 | 138 | |
| 12 | 38 | |
| 13 | 33 | |
| 14 | 44 | |
| 15 | 43 | |
| 16 | 46 | |
| 17 | 16 | |
| 18 | 81 | |
| 19 | 184 | |
| 20 | 119 |
About Deng‐Fu Guo
Deng‐Fu Guo is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Genetics, having authored 94 papers that have together received 3.5k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (24 papers), Genetic and Kidney Cyst Diseases (23 papers) and Genetic Syndromes and Imprinting (21 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Endocrinology, Diabetes and Metabolism (921 citations) and Endocrine and Autonomic Systems (373 citations). Deng‐Fu Guo has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Tadashi Inagami, Kamal Rahmouni, Donald A. Morgan, Hiroaki Furuta, Val C. Sheffield, Pavel Hamet, Yutaka Kitami, Shannon M. Harlan, Kevin Bugge and Seongjin Seo. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.
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.