Lynn M. Geletka
- Epidemiology top 2%
- Physiology top 2%
- Immunology top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Carey N. LumengGabriel Martinez-SantibañezKanakadurga SingerJennifer L. DelPropostoBrian F. ZamarronJennifer B. DelPropostoLindsey A. MuirRobert W. O’Rourke
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (18 papers)Plant Virus Research Studies (11 papers)Immune Cell Function and Interaction (9 papers)
- Cited by
- EndocrinologyImmunologyPhysiology
- Partner nations
- United StatesSouth KoreaPakistan
In The Last Decade
Lynn M. Geletka
32 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 98
- Epidemiology 1.2k
- Physiology 957
- Immunology 781
- Molecular Biology 505
- Cardiology and Cardiovascular Medicine 273
Countries citing papers authored by Lynn M. Geletka
This map shows the geographic impact of Lynn M. Geletka'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 Lynn M. Geletka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn M. Geletka more than expected).
Fields of papers citing papers by Lynn M. Geletka
This network shows the impact of papers produced by Lynn M. Geletka. 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 Lynn M. Geletka. The network helps show where Lynn M. Geletka may publish in the future.
Co-authorship network of co-authors of Lynn M. Geletka
This figure shows the co-authorship network connecting the top 25 collaborators of Lynn M. Geletka. A scholar is included among the top collaborators of Lynn M. Geletka 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 Lynn M. Geletka. Lynn M. Geletka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 63 | |
| 3 | 1 | |
| 4 | 42 | |
| 5 | 43 | |
| 6 | 276 | |
| 7 | 105 | |
| 8 | 139 | |
| 9 | 180 | |
| 10 | 72 | |
| 11 | 252 | |
| 12 | 287 | |
| 13 | 87 | |
| 14 | 43 | |
| 15 | 40 | |
| 16 | Engineering hypoviruses for fundamental and practical applications | 4 |
| 17 | 23 | |
| 18 | 14 | |
| 19 | 16 | |
| 20 | 17 |
About Lynn M. Geletka
Lynn M. Geletka is a scholar working on Endocrinology, Immunology and Epidemiology, having authored 32 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (18 papers), Plant Virus Research Studies (11 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Endocrinology (213 citations), Immunology (781 citations) and Physiology (957 citations). Lynn M. Geletka has collaborated with scholars based in United States, South Korea and Pakistan. Frequent co-authors include Carey N. Lumeng, Gabriel Martinez-Santibañez, Kanakadurga Singer, Jennifer L. DelProposto, Brian F. Zamarron, Jennifer B. DelProposto, Lindsey A. Muir, Robert W. O’Rourke, Kae Won Cho and Donald L. Nuss. Their work appears in journals such as Cell, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.