Hans‐Peter Baum

1.4k citations
25 papers · 1.2k · h-index 13

Impact in

Papers in

Hans‐Peter Baum

24 papers receiving 1.1k citations

Peers

Hans‐Peter Baum
Comparison fields: 5 of 95
  • Cardiology and Cardiovascular Medicine 435
  • Endocrinology, Diabetes and Metabolism 250
  • Dermatology 103
  • Pulmonary and Respiratory Medicine 270
  • Cancer Research 120
Replace Helen E. McGrath with:
Helen E. McGrath United States
Peter N. Dietrich Germany
Li Wei China
Wenru Tang China
Qiutang Zeng China
Johan Selmer Denmark
J. K. Burmester United States
Deborah L. Widomski United States
Alexandre Mezentsev Russia
Teruaki Imada Japan
Hans‐Peter Baum relative to Helen E. McGrath United States Helen E. McGrath's profile →
Citations per field
00.5×2×2.6×
Helen E. McGrath · 1×
Citations per year

Countries citing papers authored by Hans‐Peter Baum

Since Specialization
Citations

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

Fields of papers citing papers by Hans‐Peter Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans‐Peter Baum. 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 Hans‐Peter Baum. The network helps show where Hans‐Peter Baum may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003419
2 1988286
3 199799
4 199196
5 199642
6 199331
7 200426
8 198725
9 198919
10 198614
11 199614
12 199013
13 199613
14 199610
15 19878
16 19898
17 19887
18 19877
19 19947
20 19966

About Hans‐Peter Baum

Hans‐Peter Baum is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Dermatology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (5 papers), Receptor Mechanisms and Signaling (4 papers), Nonmelanoma Skin Cancer Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Molecular Biology Techniques and Applications (2 papers), Contact Dermatitis and Allergies (2 papers), Occupational exposure and asthma (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (435 citations), Endocrinology, Diabetes and Metabolism (250 citations), Dermatology (103 citations), Pulmonary and Respiratory Medicine (270 citations) and Cancer Research (120 citations). Hans‐Peter Baum has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include H. J. Rumpelt, Wolfgang Thoenes, S Störkel, R. Moll, Jörg Reichrath, Friedrich A. Bahmer, Frédéric Cumin, Patrick Koch, J M Wood and Anne U. Kerber. Their work appears in journals such as Journal of Hypertension, Contact Dermatitis, Journal of Pharmacology and Experimental Therapeutics, Dermatology and British Journal of Dermatology.

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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