J. Pinski

1.2k citations
30 papers · 1.1k · h-index 18

Impact in

Papers in

J. Pinski

28 papers receiving 1.0k citations

Peers

J. Pinski
Comparison fields: 5 of 70
  • Reproductive Medicine 251
  • Endocrinology, Diabetes and Metabolism 430
  • Oncology 192
  • Cancer Research 94
  • Cellular and Molecular Neuroscience 122
Replace Artur Płonowski with:
Artur Płonowski United States
Dora W. Hsu United States
Pui Seto United States
Katja Kiseljak‐Vassiliades United States
Mary K. Luidens United States
Krishna Krithivas United States
John J. Merendino United States
Tarja Lamminen Finland
Hajime Ishida Japan
R Toccafondi Italy
J. Pinski relative to Artur Płonowski United States Artur Płonowski's profile →
Citations per field
00.5×2×2.6×
Artur Płonowski · 1×
Citations per year

Countries citing papers authored by J. Pinski

Since Specialization
Citations

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

Fields of papers citing papers by J. Pinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Pinski, 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 J. Pinski Line = papers co-authored together J. Pinski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199492
2 199585
3 199784
4 199683
5 199779
6 199573
7 199471
8 199665
9 199460
10 199657
11
Somatostatin analogues and bombesin/gastrin-releasing peptide antagonist RC-3095 inhibit the growth of human glioblastomas in vitro and in vivo.
199450
12 199440
13 199331
14 199430
15 199428
16 199426
17 199725
18 199218
19 199217
20 199212

About J. Pinski

J. Pinski is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Neuroendocrine Tumor Research Advances (6 papers), Prostate Cancer Treatment and Research (5 papers), Lung Cancer Research Studies (4 papers), Click Chemistry and Applications (3 papers), Chemical Synthesis and Analysis (3 papers), Hypothalamic control of reproductive hormones (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Reproductive Medicine (251 citations), Endocrinology, Diabetes and Metabolism (430 citations), Oncology (192 citations), Cancer Research (94 citations) and Cellular and Molecular Neuroscience (122 citations). J. Pinski has collaborated with scholars based in United States, Hungary and Poland. Frequent co-authors include Andrew V. Schally, György B. Halmos, Kate Groot, Károly Szepesházi, Manuel Vadillo-Buenfil, A. Jungwirth, T. Yano, M. Zarándi, Patricia Armatis and Judit Horváth. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Oncology, Journal of Clinical Oncology, European Journal of Cancer and British Journal of Cancer.

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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