A. Kemp

49 papers receiving 1.6k citations

A. Kemp's Hit Papers

A colorimetric micro-method for the determination of glycogen in tissues 1954 · 367 citations
3670+24+48Years since publication100200300

Peers

A. Kemp
Comparison fields: 5 of 117
  • Clinical Biochemistry 258
  • Biochemistry 128
  • Molecular Biology 1.1k
  • Physiology 261
  • Energy Engineering and Power Technology 32
Replace Maynard E. Pullman with:
Maynard E. Pullman United States
P.V. Vignais France
Anima Datta India
Andrei D. Vinogradov Russia
K. W. Cleland United Kingdom
Francis E. Stolzenbach United States
Miloslav Rechcígl United States
Henry I. Nakada United States
S.J. Cooperstein United States
Vera G. Grivennikova Russia
A. Kemp relative to Maynard E. Pullman United States Maynard E. Pullman's profile →
Citations per field
00.5×1.5×
Maynard E. Pullman · 1×
Citations per year

Countries citing papers authored by A. Kemp

Since Specialization
Citations

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

Fields of papers citing papers by A. Kemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A colorimetric micro-method for the determination of glycogen in tissues
Hit paper breakdown →
1954367
2 1977116
3 1954113
4 197599
5 198295
6 196991
7 197273
8 197368
9 195463
10 196460
11 198054
12 197447
13 197946
14 197940
15 198138
16 196434
17 198132
18 197128
19 197027
20 198027

About A. Kemp

A. Kemp is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Cancer Research and Biochemistry, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (14 papers), Metabolism and Genetic Disorders (13 papers), ATP Synthase and ATPases Research (11 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Adipose Tissue and Metabolism (5 papers), Enzyme Structure and Function (3 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Clinical Biochemistry (258 citations), Biochemistry (128 citations), Molecular Biology (1.1k citations), Physiology (261 citations) and Energy Engineering and Power Technology (32 citations). A. Kemp has collaborated with scholars based in Netherlands, New Zealand and United States. Frequent co-authors include Adrienne J. M. Kits Van Heijningen, E.C. Slater, Rob Wagenvoord, D. K. Myers, Ineke van der Kraan, J.H.M. Souverijn, Jan Rosing, B Mendel, Luitzen de Jong and J. J. Nietfeld. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, Nature, Biochemical Society Transactions, FEBS Letters and Experimental Cell 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.

Explore authors with similar magnitude of impact