Kim I. Tilly
- Public Health, Environmental and Occupational Health top 2%
- Molecular Biology top 10%
- Reproductive Medicine top 1%
- Immunology top 5%
- Agronomy and Crop Science top 2%
- Co-authors
- Jonathan L. TillyA. L. JohnsonGloria I. PerezDaniel V. MaraveiKoji KuguXiao-Jing TaoPartha P. BanerjeePatricia B. Hoyer
- Topics
- Reproductive Biology and Fertility (13 papers)Cell death mechanisms and regulation (8 papers)Reproductive System and Pregnancy (7 papers)
- Cited by
- Reproductive MedicineAgronomy and Crop SciencePublic Health, Environmental and Occupational Health
- Journals
- Journal of Clinical InvestigationThe Journal of Clinical Endocrinology & MetabolismEndocrinology
- Partner nations
- United StatesAustralia
In The Last Decade
Kim I. Tilly
25 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 87
- Public Health, Environmental and Occupational Health 903
- Molecular Biology 880
- Reproductive Medicine 509
- Immunology 481
- Agronomy and Crop Science 323
Countries citing papers authored by Kim I. Tilly
This map shows the geographic impact of Kim I. Tilly'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 Kim I. Tilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim I. Tilly more than expected).
Fields of papers citing papers by Kim I. Tilly
This network shows the impact of papers produced by Kim I. Tilly. 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 Kim I. Tilly. The network helps show where Kim I. Tilly may publish in the future.
Co-authorship network of co-authors of Kim I. Tilly
This figure shows the co-authorship network connecting the top 25 collaborators of Kim I. Tilly. A scholar is included among the top collaborators of Kim I. Tilly 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 Kim I. Tilly. Kim I. Tilly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 130 | |
| 3 | 50 | |
| 4 | 14 | |
| 5 | 10 | |
| 6 | 114 | |
| 7 | 62 | |
| 8 | 106 | |
| 9 | 114 | |
| 10 | 35 | |
| 11 | 63 | |
| 12 | 12 | |
| 13 | 122 | |
| 14 | 33 | |
| 15 | 64 | |
| 16 | 70 | |
| 17 | 66 | |
| 18 | 20 | |
| 19 | 78 | |
| 20 | Apoptosis during functional luteum regression: evidence of a role for chorionic gonadotropin in promoting luteal cell survival | 2 |
About Kim I. Tilly
Kim I. Tilly is a scholar working on Aging, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 2.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (13 papers), Cell death mechanisms and regulation (8 papers) and Reproductive System and Pregnancy (7 papers). The work is most often cited by research in Reproductive Medicine (509 citations), Agronomy and Crop Science (323 citations) and Public Health, Environmental and Occupational Health (903 citations). Kim I. Tilly has collaborated with scholars based in United States and Australia. Frequent co-authors include Jonathan L. Tilly, A. L. Johnson, Gloria I. Perez, Daniel V. Maravei, Koji Kugu, Xiao-Jing Tao, Partha P. Banerjee, Patricia B. Hoyer, Bo R. Rueda and Thomas Hansen. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.
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.