Kim I. Tilly

2.4k total citations
25 papers, 2.0k citations indexed

About

Kim I. Tilly is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Kim I. Tilly has authored 25 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Public Health, Environmental and Occupational Health and 8 papers in Immunology. Recurrent topics in Kim I. Tilly's work include Reproductive Biology and Fertility (13 papers), Cell death mechanisms and regulation (8 papers) and Reproductive System and Pregnancy (7 papers). Kim I. Tilly is often cited by papers focused on Reproductive Biology and Fertility (13 papers), Cell death mechanisms and regulation (8 papers) and Reproductive System and Pregnancy (7 papers). Kim I. Tilly collaborates with scholars based in United States and Australia. Kim I. Tilly's co-authors include Jonathan L. Tilly, A. L. Johnson, Gloria I. Perez, Daniel V. Maravei, Koji Kugu, Xiao-Jing Tao, Partha P. Banerjee, Bo R. Rueda, Patricia B. Hoyer and Thomas Hansen and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

Kim I. Tilly

25 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kim I. Tilly United States 20 903 880 509 481 323 25 2.0k
Kimihisa Tajima Japan 22 669 0.7× 532 0.6× 545 1.1× 188 0.4× 225 0.7× 40 1.5k
James C. Garmey United States 33 619 0.7× 908 1.0× 460 0.9× 388 0.8× 367 1.1× 62 2.6k
S K Dey United States 12 322 0.4× 519 0.6× 462 0.9× 918 1.9× 245 0.8× 15 1.7k
Ryosuke Nakano Japan 21 378 0.4× 528 0.6× 413 0.8× 168 0.3× 140 0.4× 82 1.4k
Makoto Orisaka Japan 23 815 0.9× 568 0.6× 823 1.6× 211 0.4× 191 0.6× 62 1.8k
Hiromichi Matsumoto Japan 24 1.0k 1.1× 809 0.9× 1.1k 2.1× 1.1k 2.3× 247 0.8× 72 2.4k
Karen Eisenhauer United States 11 518 0.6× 377 0.4× 384 0.8× 150 0.3× 143 0.4× 14 1.1k
James R. Schreiber United States 28 690 0.8× 350 0.4× 758 1.5× 362 0.8× 315 1.0× 61 2.0k
Carmela Guido Italy 24 297 0.3× 853 1.0× 513 1.0× 202 0.4× 64 0.2× 35 2.0k
Sébastien Elis France 26 458 0.5× 389 0.4× 278 0.5× 85 0.2× 275 0.9× 54 1.4k

Countries citing papers authored by Kim I. Tilly

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Morita, Yutaka, Gloria I. Perez, Daniel V. Maravei, Kim I. Tilly, & Jonathan L. Tilly. (1999). Targeted Expression of Bcl-2 in Mouse Oocytes Inhibits Ovarian Follicle Atresia and Prevents Spontaneous and Chemotherapy-Induced Oocyte Apoptosis In Vitro. Molecular Endocrinology. 13(6). 841–850. 130 indexed citations
3.
Robles, Rodolfo, Xiao-Jing Tao, Alexander M. Trbovich, et al.. (1999). Localization, Regulation and Possible Consequences of Apoptotic Protease-Activating Factor-1 (Apaf-1) Expression in Granulosa Cells of the Mouse Ovary. Endocrinology. 140(6). 2641–2644. 62 indexed citations
5.
Trbovich, Alexander M., Francis M. Hughes, Gloria I. Perez, et al.. (1998). High and low molecular weight DNA cleavage in ovarian granulosa cells: characterization and protease modulation in intact cells and in cell-free nuclear autodigestion assays. Cell Death and Differentiation. 5(1). 38–49. 14 indexed citations
6.
Carsia, Rocco V., Robert G. Nagele, Y. Morita, Kim I. Tilly, & Jonathan L. Tilly. (1998). Models to elucidate the regulation of adrenal cell death. Endocrine Research. 24(3-4). 899–908. 10 indexed citations
8.
Kugu, Koji, Valerie Ratts, Gary N. Piquette, et al.. (1998). Analysis of apoptosis and expression of bcl-2 gene family members in the human and baboon ovary. Cell Death and Differentiation. 5(1). 67–76. 114 indexed citations
9.
Tao, Xiao-Jing, Kim I. Tilly, Daniel V. Maravei, et al.. (1997). Differential Expression of Members of thebcl-2Gene Family in Proliferative and Secretory Human Endometrium: Glandular Epithelial Cell Apoptosis Is Associated with Increased Expression ofbax1. The Journal of Clinical Endocrinology & Metabolism. 82(8). 2738–2746. 114 indexed citations
10.
Rueda, Bo R., Kim I. Tilly, Ihab W. Botros, et al.. (1997). Increased bax and Interleukin-1β-Converting Enzyme Messenger Ribonucleic Acid Levels Coincide with Apoptosis in the Bovine Corpus Luteum during Structural Regression1. Biology of Reproduction. 56(1). 186–193. 106 indexed citations
11.
Tilly, Jonathan L., Kim I. Tilly, & Gloria I. Perez. (1997). The genes of cell death and cellular susceptibility to apoptosis in the ovary: a hypothesis. Cell Death and Differentiation. 4(3). 180–187. 63 indexed citations
12.
Maravei, Daniel V., Alexander M. Trbovich, Gloria I. Perez, et al.. (1997). Cleavage of cytoskeletal proteins by caspases during ovarian cell death: evidence that cell-free systems do not always mimic apoptotic events in intact cells. Cell Death and Differentiation. 4(8). 707–712. 35 indexed citations
13.
Carsia, Rocco V., Kim I. Tilly, & Jonathan L. Tilly. (1997). Hormonal modulation of apoptosis in the rat adrenal gland in vitro is dependent on structural integrity. Endocrine. 7(3). 377–381. 12 indexed citations
14.
Lei, Hanqin, Emma E. Furth, Raghu Kalluri, et al.. (1996). A program of cell death and extracellular matrix degradation is activated in the amnion before the onset of labor.. Journal of Clinical Investigation. 98(9). 1971–1978. 122 indexed citations
15.
Wang, Q.F., Kim I. Tilly, Jonathan L. Tilly, et al.. (1996). Activin inhibits basal and androgen-stimulated proliferation and induces apoptosis in the human prostatic cancer cell line, LNCaP.. Endocrinology. 137(12). 5476–5483. 64 indexed citations
16.
Carsia, Rocco V., et al.. (1996). Apoptotic cell death in the rat adrenal gland: an in vivo and in vitro investigation. Cell and Tissue Research. 283(2). 247–254. 33 indexed citations
18.
19.
Rueda, Bo R., Kim I. Tilly, Thomas Hansen, Patricia B. Hoyer, & Jonathan L. Tilly. (1995). Expression of superoxide dismutase, catalase and glutathione peroxidase in the bovine corpus luteum: evidence supporting a role for oxidative stress in luteolysis. Endocrine. 3(3). 227–232. 70 indexed citations
20.
Dharmarajan, Arun, et al.. (1994). Apoptosis during functional luteum regression: evidence of a role for chorionic gonadotropin in promoting luteal cell survival. UWA Profiles and Research Repository (UWA). 2 indexed citations

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.

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