Peter T. Gomme
Impact in
- Physiology top 10%
- Reproductive biology and impacts on aquatic species
- Reproductive Medicine top 10%
Papers in
-
- Protein purification and stability 4
- Glycosylation and Glycoproteins Research 3
- Protein Interaction Studies and Fluorescence Analysis 2
- TGF-β signaling in diseases 2
-
- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Joseph Bertolini (8 shared papers)Karl B. McCann (3 shared papers)Milton T. W. Hearn (6 shared papers)Peter G. Stanton (4 shared papers)Philip E. Thompson (4 shared papers)Anna Johnston (1 shared paper)M.T.W. Hearn (1 shared paper)Mahesh Prakash (1 shared paper)
- Journals
- Biotechnology and Applied Biochemistry (4 papers)Trends in biotechnology (2 papers)Drug Discovery Today (1 paper)Biologicals (1 paper)Journal of Molecular Recognition (2 papers)
- Partner nations
- Australia
In The Last Decade
Peter T. Gomme
15 papers receiving 747 citations
Peers
Comparison fields: 5 of 100
- Physiology 46
- Reproductive Medicine 69
- Hematology 79
- Aquatic Science 48
- Nutrition and Dietetics 77
Countries citing papers authored by Peter T. Gomme
This map shows the geographic impact of Peter T. Gomme'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 Peter T. Gomme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Gomme more than expected).
Fields of papers citing papers by Peter T. Gomme
This network shows the impact of papers produced by Peter T. Gomme. 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 Peter T. Gomme. The network helps show where Peter T. Gomme may publish in the future.
Co-authors
The 11 scholars most cited alongside Peter T. Gomme, 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 | 2005 | 394 | |
| 2 | 2004 | 164 | |
| 3 | 2000 | 106 | |
| 4 | 2004 | 26 | |
| 5 | 2006 | 19 | |
| 6 | 1995 | 18 | |
| 7 | 2006 | 13 | |
| 8 | 2005 | 11 | |
| 9 | 1999 | 11 | |
| 10 | 1999 | 5 | |
| 11 | 2000 | 5 | |
| 12 | 1999 | 3 | |
| 13 | 2004 | 2 | |
| 14 | 2004 | 2 | |
| 15 | Homology modelling of the glycoprotein hormones: receptor recognition characteristics | 1997 | 2 |
| 16 | 2008 | 1 |
About Peter T. Gomme
Peter T. Gomme is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Pathology and Forensic Medicine and Physiology, having authored 16 papers that have together received 782 indexed citations. Recurring topics across this work include Protein purification and stability (4 papers), Analytical Chemistry and Chromatography (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), TGF-β signaling in diseases (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Physiology (46 citations), Reproductive Medicine (69 citations), Hematology (79 citations), Aquatic Science (48 citations) and Nutrition and Dietetics (77 citations). Peter T. Gomme has collaborated with scholars based in Australia. Frequent co-authors include Joseph Bertolini, Karl B. McCann, Milton T. W. Hearn, Peter G. Stanton, Philip E. Thompson, Anna Johnston, M.T.W. Hearn, Mahesh Prakash, James C. Whisstock and Paul W. Cleary. Their work appears in journals such as Biotechnology and Applied Biochemistry, Trends in biotechnology, Drug Discovery Today, Biologicals and Journal of Molecular Recognition.
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.