A. Kemp

2.2k citations
49 papers · 1.9k indexed · 1 hit paper · h-index 24

Impact in

Papers in

A. Kemp

49 papers receiving 1.6k citations

Hit Papers

A colorimetric micro-method for the determination of glycogen in tissues 1954 · 366 citations
3661954202619782002100200300

Peers

A. Kemp
Comparison fields: 5 of 117
  • Clinical Biochemistry 263
  • Biochemistry 129
  • Molecular Biology 1.1k
  • Energy Engineering and Power Technology 32
  • Physiology 268
Replace Maynard E. Pullman with:
Maynard E. Pullman United States
P.V. Vignais France
Anima Datta India
K. W. Cleland United Kingdom
Francis E. Stolzenbach United States
Anna Ghelli Italy
Miloslav Rechcígl United States
Henry I. Nakada United States
Jacques Doussière France
Carolyn W. Slayman United States
A. Kemp relative to Maynard E. Pullman United States Maynard E. Pullman's profile →
Citations per field
00.5×1.5×1.9×
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-authorship network

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
#Work
1 20243
2 198618
3 198522
4 198295
5 198117
6 198054
7 197946
8 197940
9 19772
10 197613
11 197615
12 197599
13 197447
14 19747
15 197273
16 196711
17 19633
18 19623
19 195525
20
A simple colour scale for the blood sugar determination according to Mendel and Hoogland.
19513

About A. Kemp

A. Kemp is a scholar working on Clinical Biochemistry, Biochemistry, Molecular Biology, Cancer Research and Biophysics, 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), Amino Acid Enzymes and Metabolism (3 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Clinical Biochemistry (263 citations), Biochemistry (129 citations), Molecular Biology (1.1k citations), Energy Engineering and Power Technology (32 citations) and Physiology (268 citations). A. Kemp has collaborated with scholars based in Netherlands, New Zealand and Canada. 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, J. J. Nietfeld and Luitzen de Jong. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, Nature, FEBS Letters, Biochemical Society Transactions and Biochemical Pharmacology.

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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