K. Weigand

606 citations
36 papers · 476 · h-index 13

Impact in

    • Muscle metabolism and nutrition
    • Hemoglobin structure and function
    • Liver physiology and pathology

Papers in

K. Weigand

35 papers receiving 436 citations

Peers

K. Weigand
Comparison fields: 5 of 83
  • Cell Biology 96
  • Hepatology 40
  • Biochemistry 34
  • Clinical Biochemistry 29
  • Oncology 92
Replace James P. Mapes with:
James P. Mapes United States
D.D. Harrison Australia
Martijn Lindhout Netherlands
David F. Gebhard United States
Mohan V. Chari United States
Rajesh Kumar Dutta United States
Takeo Yamaguchi Japan
Erich Hirschberg United States
Cristina Rossi Italy
Diane L. Lucas United States
K. Weigand relative to James P. Mapes United States James P. Mapes's profile →
Citations per field
00.5×1.5×2.3×
James P. Mapes · 1×
Citations per year

Countries citing papers authored by K. Weigand

Since Specialization
Citations

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

Fields of papers citing papers by K. Weigand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196977
2 198473
3 197742
4 197142
5 198329
6 197427
7 198326
8 198519
9 197018
10 202314
11 198113
12 198312
13 198212
14 197711
15
Ficoll density separation of enzymatically isolated rat liver cells.
19747
16 19837
17 19867
18 19835
19 20174
20 20084

About K. Weigand

K. Weigand is a scholar working on Pulmonary and Respiratory Medicine, Cell Biology, Surgery, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 36 papers that have together received 476 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (8 papers), Organ Donation and Transplantation (6 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Renal and Vascular Pathologies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Blood properties and coagulation (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Cell Biology (96 citations), Hepatology (40 citations), Biochemistry (34 citations), Clinical Biochemistry (29 citations) and Oncology (92 citations). K. Weigand has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Gerhard Schreiber, Hiroo Maeno, Erich W. Russi, R Lesch, Christiane Falge, H. Wernze, Martin C. Carey, Peter Schurtenberger, Norman A. Mazer and R Preisig. Their work appears in journals such as Journal of Molecular Medicine, FEBS Letters, Biochemistry, Comprehensive Reviews in Food Science and Food Safety and European Journal of Biochemistry.

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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