H.‐J. Lisch

431 citations
35 papers · 354 · h-index 7

Impact in

Papers in

H.‐J. Lisch

31 papers receiving 311 citations

Peers

H.‐J. Lisch
Comparison fields: 5 of 56
  • Endocrinology, Diabetes and Metabolism 173
  • Obstetrics and Gynecology 58
  • Cardiology and Cardiovascular Medicine 56
  • Cancer Research 36
  • Surgery 94
Replace Ji Hu with:
Ji Hu China
J T Clarkson United States
Annett Hoffmann Germany
Anna Sirek Canada
Zheng-pei Zeng China
P.M. Sarrel United States
Hak‐Joong Kim United States
E.P. Dawson United States
Jijin Lin China
H.‐J. Lisch relative to Ji Hu China Ji Hu's profile →
Citations per field
00.5×1.7×
Ji Hu · 1×
Citations per year

Countries citing papers authored by H.‐J. Lisch

Since Specialization
Citations

This map shows the geographic impact of H.‐J. Lisch'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. Lisch 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. Lisch more than expected).

Fields of papers citing papers by H.‐J. Lisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198584
2 198171
3 198860
4 196831
5 197811
6 198311
7 19737
8 19827
9 19847
10 19686
11 19766
12 19786
13 19745
14 19865
15 19744
16
[Autoimmune hemolysis caused by anti-Pr].
19854
17 19673
18 19733
19 19753
20 19773

About H.‐J. Lisch

H.‐J. Lisch is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Cardiology and Cardiovascular Medicine, Physiology and Hematology, having authored 35 papers that have together received 354 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Lipid metabolism and disorders (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Lipid metabolism and biosynthesis (4 papers), Diet, Metabolism, and Disease (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (173 citations), Obstetrics and Gynecology (58 citations), Cardiology and Cardiovascular Medicine (56 citations), Cancer Research (36 citations) and Surgery (94 citations). H.‐J. Lisch has collaborated with scholars based in Austria and Germany. Frequent co-authors include S. Sailer, H Braunsteiner, Heinz Drexel, Edwin Knapp, V. Mühlberger, Manfred Herold, Oleh Hornykiewicz, Josef R. Patsch, Alan D. Springer and Heinz Drexel. Their work appears in journals such as Journal of Molecular Medicine, Atherosclerosis, Diabetologia, Naunyn-Schmiedeberg s Archives of Pharmacology and Hormone and Metabolic Research.

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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