Laura J. Cobb
- Molecular Biology top 10%
- Rheumatology top 1%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Co-authors
- Pinchas CohenJennifer M. PellHemal H. MehtaDerviş A. SalihKuk‐Wha LeeGyanendra TripathiEmma CarterJunxiang Wan
- Topics
- Growth Hormone and Insulin-like Growth Factors (12 papers)GDF15 and Related Biomarkers (9 papers)Metabolism, Diabetes, and Cancer (6 papers)
- Cited by
- RheumatologyAgingPhysiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Laura J. Cobb
29 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.0k
- Rheumatology 653
- Physiology 577
- Endocrinology, Diabetes and Metabolism 363
- Immunology 276
Countries citing papers authored by Laura J. Cobb
This map shows the geographic impact of Laura J. Cobb'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 Laura J. Cobb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura J. Cobb more than expected).
Fields of papers citing papers by Laura J. Cobb
This network shows the impact of papers produced by Laura J. Cobb. 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 Laura J. Cobb. The network helps show where Laura J. Cobb may publish in the future.
Co-authorship network of co-authors of Laura J. Cobb
This figure shows the co-authorship network connecting the top 25 collaborators of Laura J. Cobb. A scholar is included among the top collaborators of Laura J. Cobb 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 Laura J. Cobb. Laura J. Cobb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 208 | |
| 2 | 51 | |
| 3 | 78 | |
| 4 | 97 | |
| 5 | 1 | |
| 6 | 150 | |
| 7 | 122 | |
| 8 | 202 | |
| 9 | 75 | |
| 10 | 32 | |
| 11 | 55 | |
| 12 | 57 | |
| 13 | 43 | |
| 14 | Site-specific phosphorylation by intracellular kinases determines the apoptotic activity of IGFBP-3 in prostate cancer | 4 |
| 15 | 39 | |
| 16 | 28 | |
| 17 | 40 | |
| 18 | 9 | |
| 19 | 152 | |
| 20 | 108 |
About Laura J. Cobb
Laura J. Cobb is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology and Cancer Research, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), GDF15 and Related Biomarkers (9 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Rheumatology (653 citations), Aging (45 citations) and Physiology (577 citations). Laura J. Cobb has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Pinchas Cohen, Jennifer M. Pell, Hemal H. Mehta, Derviş A. Salih, Kuk‐Wha Lee, Gyanendra Tripathi, Emma Carter, Junxiang Wan, Cathy Holding and Hiromi Nakamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.