Walter Born

3.8k citations
97 papers · 3.4k · h-index 33

Impact in

Papers in

Walter Born

97 papers receiving 3.3k citations

Peers

Walter Born
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 1.3k
  • Endocrinology, Diabetes and Metabolism 444
  • Molecular Biology 1.9k
  • Cancer Research 311
  • Endocrine and Autonomic Systems 133
Replace Roman Muff with:
Roman Muff Switzerland
Laurent Muller France
Marı́a T. Berciano Spain
Yusu Gu United States
Xiangli Yang United States
Michael W. Starbuck United States
G. Properzi Italy
Paul G. Genever United Kingdom
Hugo Vankelecom Belgium
Paul Gregorevic Australia
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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999239
2 1995146
3 1999144
4 2006137
5 2005125
6 2008115
7 2005111
8 200878
9 198877
10 200772
11 198571
12 199869
13 200763
14 201461
15 201260
16 201158
17 200256
18 200051
19 200449
20 198348

About Walter Born

Walter Born is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 97 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (38 papers), Receptor Mechanisms and Signaling (28 papers), Hormonal Regulation and Hypertension (13 papers), Sarcoma Diagnosis and Treatment (11 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 (1.3k citations), Endocrinology, Diabetes and Metabolism (444 citations), Molecular Biology (1.9k citations), Cancer Research (311 citations) and Endocrine and Autonomic Systems (133 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, Ana Gvozdenovic, Heiko Wurdak and Stefan Karlsson. Their work appears in journals such as Endocrinology, FEBS Letters, Peptides, Biochemistry 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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