Knut Feldmann

23 papers receiving 1.0k citations

Peers

Knut Feldmann
Comparison fields: 5 of 88
  • Clinical Biochemistry 86
  • Infectious Diseases 227
  • Biochemistry 85
  • Cancer Research 129
  • Epidemiology 205
Replace R. I. Christopherson with:
R. I. Christopherson Australia
W. Thomas Mueller United States
Mary H. Hanlon United States
Takeshi Seno Japan
Charles Garrett United States
Ming Chu United States
Fardos N.M. Naguib United States
D. Parker Suttle United States
Frank M. Schabel United States
Gayatri Gowrishankar United States
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Citations per field
00.5×2.8×
R. I. Christopherson · 1×
Citations per year

Countries citing papers authored by Knut Feldmann

Since Specialization
Citations

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

Fields of papers citing papers by Knut Feldmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007197
2 2008120
3 2004116
4 200893
5 200864
6 197854
7 200653
8 197249
9 197646
10 197938
11 197937
12 197936
13 200932
14 200531
15 197627
16 199721
17 197420
18 198018
19
Clinical relevance of thymidine kinase for the diagnosis, therapy monitoring and prognosis of non-operable lung cancer.
201017
20 197911

About Knut Feldmann

Knut Feldmann is a scholar working on Molecular Biology, Clinical Biochemistry, Oncology, Infectious Diseases and Organic Chemistry, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Lung Cancer Research Studies (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Tuberculosis Research and Epidemiology (4 papers), Glycogen Storage Diseases and Myoclonus (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Mycobacterium research and diagnosis (3 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Clinical Biochemistry (86 citations), Infectious Diseases (227 citations), Biochemistry (85 citations), Cancer Research (129 citations) and Epidemiology (205 citations). Knut Feldmann has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Ernst Helmreich, H. Raith, P Stieber, Stefan Holdenrieder, Joachim von Pawel, Dorothea Nagel, D. Seidel, Klaus D. Schnackerz, Hans‐Joachim Mollenkopf and Andreas Ziegler. Their work appears in journals such as Biochemistry, Clinical Cancer Research, Annals of the New York Academy of Sciences, European Journal of Biochemistry and Microbial Drug Resistance.

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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