H. J. Sch�mann

904 citations
37 papers · 591 · h-index 15

Impact in

Papers in

    • Receptor Mechanisms and Signaling 3
    • Polyamine Metabolism and Applications 3
    • Diet and metabolism studies 3
    • Adipose Tissue and Metabolism 2

H. J. Sch�mann

32 papers receiving 509 citations

Peers

H. J. Sch�mann
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 173
  • Animal Science and Zoology 64
  • Physiology 142
  • Endocrine and Autonomic Systems 31
  • Behavioral Neuroscience 15
Replace A. Hürlimann with:
A. Hürlimann Switzerland
L. Cubeddu United States
Joseph J. McPhillips United States
Ronald D. Robson Switzerland
Hans-Joachim Schümann Germany
John M. Stavorski United States
C. C. Toh Singapore
A.F. De Schaepdryver Belgium
A. F. GREEN United Kingdom
S Fénard France
H. J. Sch�mann relative to A. Hürlimann Switzerland A. Hürlimann's profile →
Citations per field
00.5×3.0×
A. Hürlimann · 1×
Citations per year

Countries citing papers authored by H. J. Sch�mann

Since Specialization
Citations

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

Fields of papers citing papers by H. J. Sch�mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. J. Sch�mann. 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 H. J. Sch�mann. The network helps show where H. J. Sch�mann may publish in the future.

Co-authors

The 13 scholars most cited alongside H. J. Sch�mann, 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 H. J. Sch�mann Line = papers co-authored together H. J. Sch�mann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196153
2 195849
3 196947
4 196044
5 195639
6 195739
7 195836
8 196033
9 195925
10 196623
11 195820
12 196519
13 195817
14 196416
15 197014
16 197214
17 196013
18 196211
19 196711
20 196911

About H. J. Sch�mann

H. J. Sch�mann is a scholar working on Molecular Biology, Physiology, Surgery, Animal Science and Zoology and Pharmacology, having authored 37 papers that have together received 591 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Polyamine Metabolism and Applications (3 papers), Metabolism and Genetic Disorders (3 papers), Pharmacological Effects and Assays (3 papers), Diet and metabolism studies (3 papers), Hormonal and reproductive studies (2 papers), Herpesvirus Infections and Treatments (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (173 citations), Animal Science and Zoology (64 citations), Physiology (142 citations), Endocrine and Autonomic Systems (31 citations) and Behavioral Neuroscience (15 citations). H. J. Sch�mann has collaborated with scholars based in Germany. Frequent co-authors include A. Philippu, H. Grobecker, G. Kroneberg, Ulrike Werner, Klaus Starke, A. Burger, Dirk Reinhardt, J. Wagner, A. Eckardt and D. Palm. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Journal of Molecular Medicine, Langenbeck s Archives of Surgery and Die Naturwissenschaften.

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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