Rolf Kuestner

5.0k citations
26 papers · 1.6k · h-index 17

Impact in

    • Hypothalamic control of reproductive hormones
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Bone health and treatments

Papers in

Rolf Kuestner

26 papers receiving 1.5k citations

Peers

Rolf Kuestner
Comparison fields: 5 of 100
  • Reproductive Medicine 207
  • Oncology 399
  • Cellular and Molecular Neuroscience 256
  • Immunology 245
  • Molecular Biology 729
Replace Masahiro Tahara with:
Masahiro Tahara Japan
Lisa Dillard‐Telm United States
François Godeau France
Johbu Itoh Japan
R.T. Taggart United States
George K. Ojakian United States
Ronald T.K. Pang Hong Kong
Gloria Esposito Italy
Christian Wechselberger Austria
Peter N. Graves United States
Rolf Kuestner relative to Masahiro Tahara Japan Masahiro Tahara's profile →
Citations per field
00.5×3.9×
Masahiro Tahara · 1×
Citations per year

Countries citing papers authored by Rolf Kuestner

Since Specialization
Citations

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

Fields of papers citing papers by Rolf Kuestner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015277
2 2001237
3 1994131
4 2011114
5 199585
6 199680
7 199179
8 199576
9 199871
10 199957
11 199654
12 200246
13 201538
14 201338
15 199325
16 200022
17 199121
18 201315
19 201815
20 201514

About Rolf Kuestner

Rolf Kuestner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (3 papers), Influenza Virus Research Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hormonal Regulation and Hypertension (3 papers), Signaling Pathways in Disease (3 papers), Cancer Cells and Metastasis (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Reproductive Medicine (207 citations), Oncology (399 citations), Cellular and Molecular Neuroscience (256 citations), Immunology (245 citations) and Molecular Biology (729 citations). Rolf Kuestner has collaborated with scholars based in United States, South Africa and Belgium. Frequent co-authors include Emma Moore, Steven D. Stroop, Kathie‐Anne Walters, Antonio del Sol, Anne Große-Wilde, Alexander Skupin, Gökhan Ertaylan, Sui Huang, Aymeric Fouquier d’Hérouël and Deborah Thompson. Their work appears in journals such as PLoS ONE, Journal of Bone and Mineral Research, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuromuscular Disorders.

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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