Lawrence S. Argetsinger
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Oncology top 2%
- Immunology top 5%
- Genetics top 5%
- Co-authors
- Christin Carter‐SuGeorge S. CampbellBruce A. WitthuhnOlli SilvennoinenMorris F. WhiteNils BillestrupMartin G. MyersPaul A. Kelly
- Topics
- Cytokine Signaling Pathways and Interactions (21 papers)Growth Hormone and Insulin-like Growth Factors (17 papers)Protein Kinase Regulation and GTPase Signaling (7 papers)
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Lawrence S. Argetsinger
38 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.4k
- Endocrinology, Diabetes and Metabolism 1.3k
- Oncology 1.2k
- Immunology 502
- Genetics 439
Countries citing papers authored by Lawrence S. Argetsinger
This map shows the geographic impact of Lawrence S. Argetsinger'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 Lawrence S. Argetsinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence S. Argetsinger more than expected).
Fields of papers citing papers by Lawrence S. Argetsinger
This network shows the impact of papers produced by Lawrence S. Argetsinger. 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 Lawrence S. Argetsinger. The network helps show where Lawrence S. Argetsinger may publish in the future.
Co-authorship network of co-authors of Lawrence S. Argetsinger
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence S. Argetsinger. A scholar is included among the top collaborators of Lawrence S. Argetsinger 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 Lawrence S. Argetsinger. Lawrence S. Argetsinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 79 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 46 | |
| 8 | 116 | |
| 9 | 32 | |
| 10 | 18 | |
| 11 | 56 | |
| 12 | 8 | |
| 13 | 39 | |
| 14 | 104 | |
| 15 | 40 | |
| 16 | 206 | |
| 17 | 20 | |
| 18 | Identification of JAK2 as a growth hormone receptor-associated tyrosine kinasebreakdown → | 821 |
| 19 | 3 | |
| 20 | 43 |
About Lawrence S. Argetsinger
Lawrence S. Argetsinger is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Pharmacology, having authored 40 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (21 papers), Growth Hormone and Insulin-like Growth Factors (17 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Oncology (1.2k citations) and Cancer Research (385 citations). Lawrence S. Argetsinger has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Christin Carter‐Su, George S. Campbell, Bruce A. Witthuhn, Olli Silvennoinen, Morris F. White, Nils Billestrup, Martin G. Myers, Paul A. Kelly, Jules A. Shafer and J N Ihle. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.