Walter Born

3.8k citations
95 papers · 3.1k · h-index 32

Impact in

Papers in

Walter Born

95 papers receiving 3.1k citations

Peers

Walter Born
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 1.2k
  • Molecular Biology 1.9k
  • Endocrinology, Diabetes and Metabolism 434
  • Cancer Research 337
  • Endocrine and Autonomic Systems 126
Replace Roman Muff with:
Roman Muff Switzerland
Paul G. Genever United Kingdom
Xiangli Yang United States
Olivier Chassande France
Michael W. Starbuck United States
Hiroshi Ohnishi Japan
Rosetta Pedotti Italy
Paul Gregorevic Australia
Esther Latres United States
Tina Thorne United States
Walter Born relative to Roman Muff Switzerland Roman Muff's profile →
Citations per field
00.5×1.5×
Roman Muff · 1×
Citations per year

Countries citing papers authored by Walter Born

Since Specialization
Citations

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

Fields of papers citing papers by Walter Born

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999223
2 1995141
3 1999133
4 2006124
5 2005123
6 2005109
7 2008108
8 200772
9 200872
10 198871
11 198571
12 199865
13 201460
14 200758
15 201256
16 201155
17 200252
18 200047
19 198345
20
Identification of potential chemoresistance genes in osteosarcoma.
200843

About Walter Born

Walter Born is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 95 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (37 papers), Receptor Mechanisms and Signaling (27 papers), Hormonal Regulation and Hypertension (13 papers), Sarcoma Diagnosis and Treatment (12 papers), Signaling Pathways in Disease (7 papers), Cell Adhesion Molecules Research (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Hypothalamic control of reproductive hormones (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Molecular Biology (1.9k citations), Endocrinology, Diabetes and Metabolism (434 citations), Cancer Research (337 citations) and Endocrine and Autonomic Systems (126 citations). Walter Born has collaborated with scholars based in Switzerland, United States and Sweden. Frequent co-authors include Jan A. Fischer, Roman Muff, Bruno Fuchs, Lars M. Ittner, Knut Husmann, Matthias Arlt, Denise K. Walters, Ueli Suter, Lukas Sommer and Stefan Karlsson. Their work appears in journals such as Endocrinology, FEBS Letters, Biochemistry, Peptides and PLoS ONE.

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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