G. Schumann

63 papers receiving 2.5k citations

Peers

G. Schumann
Comparison fields: 5 of 135
  • Nephrology 544
  • Transplantation 72
  • Statistics, Probability and Uncertainty 149
  • Physiology 412
  • Pharmacology 142
Replace Won‐Ki Min with:
Won‐Ki Min South Korea
Linda M. Thienpont Belgium
Vladimír Palička Czechia
Rainer Haeckel Germany
Vincent W. Dennis United States
Rainer Klauke Germany
David L. Witte United States
Dietmar Stöckl Belgium
Uffe Ravnskov Sweden
Donald A. Wiebe United States
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Citations per field
00.5×4.9×
Won‐Ki Min · 1×
Citations per year

Countries citing papers authored by G. Schumann

Since Specialization
Citations

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

Fields of papers citing papers by G. Schumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998333
2 2002312
3 2002225
4 2008214
5 1998133
6 2002122
7 2011104
8 2002100
9 199997
10 200784
11 200280
12 200473
13 200269
14 200668
15 200151
16
Characterization and Qualification of Commutable Reference Materials for Laboratory Medicine - Approved Guideline
201050
17 200936
18 200533
19 200632
20 199231

About G. Schumann

G. Schumann is a scholar working on Physiology, Nephrology, Food Science, Surgery and Pediatrics, Perinatology and Child Health, having authored 70 papers that have together received 2.6k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (18 papers), Pesticide Residue Analysis and Safety (10 papers), Renal function and acid-base balance (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Analytical Chemistry and Chromatography (5 papers), Analytical Methods in Pharmaceuticals (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Scientific Measurement and Uncertainty Evaluation (4 papers). The work is most often cited by research in Nephrology (544 citations), Transplantation (72 citations), Statistics, Probability and Uncertainty (149 citations), Physiology (412 citations) and Pharmacology (142 citations). G. Schumann has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Rainer Klauke, Johannes Brodehl, Arend Bökenkamp, Raymund Zinck, D. J. Byrd, Ferruccio Ceriotti, Mauro Panteghini, Poul J. Jørgensen, F.-Javier Gella and Paul Franck. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Clinical Chemistry, Analytical and Bioanalytical Chemistry and International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde).

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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