J. Kröpf

515 citations
31 papers · 441 · h-index 11

Impact in

Papers in

J. Kröpf

29 papers receiving 426 citations

Peers

J. Kröpf
Comparison fields: 5 of 90
  • Hepatology 87
  • Immunology and Allergy 57
  • Oncology 81
  • Spectroscopy 48
  • Epidemiology 96
Replace T Katsuki with:
T Katsuki Japan
Hannes Zwickl Austria
Shahriar Shahzeidi United States
Yuhsaku Kanoh Japan
Shiyong Lin China
Dzung T. Le United States
Vahitha B. Abdul‐Salam United Kingdom
Jonathan Tolson Germany
H. Schuldes Germany
Lynne P. Rutzky United States
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Citations per field
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Citations per year

Countries citing papers authored by J. Kröpf

Since Specialization
Citations

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

Fields of papers citing papers by J. Kröpf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Immunological measurement of transforming growth factor-beta 1 (TGF-beta1) in blood; assay development and comparison.
1997110
2
Evaluation of cellular fibronectin plasma levels as a useful staging tool in different stages of transitional cell carcinoma of the bladder and renal cell carcinoma.
200760
3 198849
4 199141
5 200424
6
The predictive value of serum laminin for portal hypertension in chronic liver diseases.
198821
7 199216
8 199616
9 199113
10 199011
11 199010
12 19989
13 19957
14 20097
15 19837
16 19806
17 20076
18 19915
19 20084
20 19874

About J. Kröpf

J. Kröpf is a scholar working on Surgery, Molecular Biology, Oncology, Immunology and Allergy and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 441 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (7 papers), Liver Disease Diagnosis and Treatment (4 papers), Urologic and reproductive health conditions (4 papers), Pancreatitis Pathology and Treatment (3 papers), Renal cell carcinoma treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Bladder and Urothelial Cancer Treatments (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Hepatology (87 citations), Immunology and Allergy (57 citations), Oncology (81 citations), Spectroscopy (48 citations) and Epidemiology (96 citations). J. Kröpf has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Axel M. Gressner, Josef O. Schurek, Alain Wollner, Axel Hegele, Rainer Hofmann, G. Adler, T. W. Körner, G. Stork, P. Olbert and E. Lotterer. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry, Andrologia, European Journal of Clinical Investigation and Analytical and Bioanalytical Chemistry.

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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