Hugh D. Niall
- Molecular Biology top 1%
- Public Health, Environmental and Occupational Health top 1%
- Cellular and Molecular Neuroscience top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Oncology top 5%
- Co-authors
- Geoffrey W. TregearJohn T. PottsSusan E. LeemanMichael M. ChangGideon GoldsteinHenry T. KeutmannPeter H. SeeburgAnthony J. Mason
- Topics
- Pregnancy-related medical research (21 papers)Chemical Synthesis and Analysis (19 papers)Occupational Health and Performance (12 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Hugh D. Niall
98 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 4.4k
- Public Health, Environmental and Occupational Health 1.2k
- Cellular and Molecular Neuroscience 1.2k
- Endocrinology, Diabetes and Metabolism 966
- Oncology 884
Countries citing papers authored by Hugh D. Niall
This map shows the geographic impact of Hugh D. Niall'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 Hugh D. Niall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugh D. Niall more than expected).
Fields of papers citing papers by Hugh D. Niall
This network shows the impact of papers produced by Hugh D. Niall. 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 Hugh D. Niall. The network helps show where Hugh D. Niall may publish in the future.
Co-authorship network of co-authors of Hugh D. Niall
This figure shows the co-authorship network connecting the top 25 collaborators of Hugh D. Niall. A scholar is included among the top collaborators of Hugh D. Niall 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 Hugh D. Niall. Hugh D. Niall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 20 | |
| 3 | 67 | |
| 4 | 258 | |
| 5 | Complementary DNA sequences of ovarian follicular fluid inhibin show precursor structure and homology with transforming growth factor-βbreakdown → | 597 |
| 6 | 81 | |
| 7 | 19 | |
| 8 | 29 | |
| 9 | 57 | |
| 10 | 47 | |
| 11 | Relaxin : proceedings of a Workshop on the Chemistry and Biology of Relaxin held at the East-West Center, the University of Hawaii, Honolulu, Hawaii, June 10-14, 1980 | 1 |
| 12 | 40 | |
| 13 | 48 | |
| 14 | 3 | |
| 15 | 57 | |
| 16 | 12 | |
| 17 | 119 | |
| 18 | 5 | |
| 19 | 42 | |
| 20 | 10 |
About Hugh D. Niall
Hugh D. Niall is a scholar working on Occupational Therapy, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 99 papers that have together received 7.9k indexed citations. Recurring topics across this work include Pregnancy-related medical research (21 papers), Chemical Synthesis and Analysis (19 papers) and Occupational Health and Performance (12 papers). The work is most often cited by research in Occupational Therapy (385 citations), Cellular and Molecular Neuroscience (1.2k citations) and Molecular Biology (4.4k citations). Hugh D. Niall has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Geoffrey W. Tregear, John T. Potts, Susan E. Leeman, Michael M. Chang, Gideon Goldstein, Henry T. Keutmann, Peter H. Seeburg, Anthony J. Mason, Jennifer D. Penschow and John P. Coghlan. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.