Joseph L. Messina
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 10%
- Surgery
- Epidemiology
- Co-authors
- Ruth S. WeinstockAdam B. KeetonShaonin JiLi LiStuart J. FrankJoseph LarnerJoyce L. HamlinJie Xu
- Topics
- Metabolism, Diabetes, and Cancer (22 papers)Protein Kinase Regulation and GTPase Signaling (17 papers)Growth Hormone and Insulin-like Growth Factors (13 papers)
- Journals
- Journal of Biological ChemistryEndocrine ReviewsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Joseph L. Messina
76 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.0k
- Endocrinology, Diabetes and Metabolism 491
- Physiology 322
- Surgery 279
- Epidemiology 241
Countries citing papers authored by Joseph L. Messina
This map shows the geographic impact of Joseph L. Messina'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 Joseph L. Messina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph L. Messina more than expected).
Fields of papers citing papers by Joseph L. Messina
This network shows the impact of papers produced by Joseph L. Messina. 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 Joseph L. Messina. The network helps show where Joseph L. Messina may publish in the future.
Co-authorship network of co-authors of Joseph L. Messina
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph L. Messina. A scholar is included among the top collaborators of Joseph L. Messina 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 Joseph L. Messina. Joseph L. Messina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 67 | |
| 5 | 13 | |
| 6 | 34 | |
| 7 | 11 | |
| 8 | 31 | |
| 9 | 118 | |
| 10 | 26 | |
| 11 | 38 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 42 | |
| 16 | 43 | |
| 17 | 5 | |
| 18 | 17 | |
| 19 | 9 | |
| 20 | 20 |
About Joseph L. Messina
Joseph L. Messina is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cell Biology, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (22 papers), Protein Kinase Regulation and GTPase Signaling (17 papers) and Growth Hormone and Insulin-like Growth Factors (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (491 citations), Biochemistry (121 citations) and Molecular Biology (1.0k citations). Joseph L. Messina has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Ruth S. Weinstock, Adam B. Keeton, Shaonin Ji, Li Li, Stuart J. Frank, Joseph Larner, Joyce L. Hamlin, Jie Xu, Jie Xu and Thomas L. Clemens. Their work appears in journals such as Journal of Biological Chemistry, Endocrine Reviews and The Journal of Clinical Endocrinology & Metabolism.
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.