Kate Groot

5.8k citations
143 papers · 4.9k indexed · h-index 44

Kate Groot

143 papers receiving 4.8k citations

Peers

Kate Groot
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Reproductive Medicine 719
  • Oncology 1.4k
  • Cellular and Molecular Neuroscience 780
  • Cancer Research 523
Replace Gábor Halmos with:
Gábor Halmos United States
A H Tashjian United States
Masanobu Yamada Japan
Cornelis J.M. Lips Netherlands
Jo W.M. Höppener Netherlands
Károly Szepesházi United States
Michael Karl United States
Mark Trifiro Canada
G I Bell United States
Coimbatore B. Srikant Canada
Kate Groot relative to Gábor Halmos United States Gábor Halmos's profile →
Citations per field
00.5×1.5×1.8×
Gábor Halmos · 1×
Citations per year

Countries citing papers authored by Kate Groot

Since Specialization
Citations

This map shows the geographic impact of Kate Groot'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 Kate Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Groot more than expected).

Fields of papers citing papers by Kate Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate Groot. 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 Kate Groot. The network helps show where Kate Groot may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kate Groot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kate Groot Line = papers co-authored together Kate Groot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 200311
3 200349
4 200021
5 200053
6 199939
7
GRHきっ坑薬のMZ‐5‐156は,ヌードマウスのDU‐145ヒトアンドロゲン非依存性前立腺癌の成長を阻害し,腫よう内のIGF2のレベル及びmRNA発現を低下させる
199850
8 199827
9 199776
10 199660
11 199610
12 19964
13 19959
14 199584
15
Antitumor effects of analogs of somatostatin and antagonists of bombesin/GRP in experimental models of pancreatic cancer
19943
16 199312
17 199320
18 199227
19 199039
20
Suppression of testicular activity by a GnRH agonist in hypophysectomized, gonadotropin-treated mice.
19892

About Kate Groot

Kate Groot is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Cellular and Molecular Neuroscience, having authored 143 papers that have together received 4.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (76 papers), Neuroendocrine Tumor Research Advances (29 papers), Neuropeptides and Animal Physiology (23 papers), Hypothalamic control of reproductive hormones (20 papers), Pituitary Gland Disorders and Treatments (18 papers), Estrogen and related hormone effects (15 papers), Cancer, Hypoxia, and Metabolism (14 papers) and Peptidase Inhibition and Analysis (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Reproductive Medicine (719 citations) and Oncology (1.4k citations). Kate Groot has collaborated with scholars based in United States, Hungary and India. Frequent co-authors include Andrew V. Schally, Károly Szepesházi, Gábor Halmos, Patricia Armatis, György B. Halmos, József L. Varga, J. Pinski, A. Jungwirth, Attila Nagy and Judit Horváth. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Prostate, International Journal of Cancer, Endocrinology and Peptides.

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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