D. Manson

771 citations
29 papers · 664 · h-index 15

Impact in

    • Amino Acid Enzymes and Metabolism
    • Sulfur Compounds in Biology
    • Pharmacogenetics and Drug Metabolism

Papers in

D. Manson

27 papers receiving 562 citations

Peers

D. Manson
Comparison fields: 5 of 83
  • Biochemistry 117
  • Pharmacology 109
  • Cancer Research 140
  • Pharmaceutical Science 59
  • Clinical Biochemistry 47
Replace Jack R. DeBaun with:
Jack R. DeBaun United States
C. Donninger Netherlands
Preston H. Grantham United States
Ulrich Frommer Germany
G.L. Kedderis United States
L. L. Danielson Sweden
J. A. Miller United States
Inga Jakobson Sweden
Sybil P. James United Kingdom
W. R. Jondorf United States
D. Manson relative to Jack R. DeBaun United States Jack R. DeBaun's profile →
Citations per field
00.5×1.5×2.5×
Jack R. DeBaun · 1×
Citations per year

Countries citing papers authored by D. Manson

Since Specialization
Citations

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

Fields of papers citing papers by D. Manson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside D. Manson, 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 D. Manson Line = papers co-authored together D. Manson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195796
2 198675
3 196662
4 196456
5 195349
6 196342
7 196236
8 195626
9 196126
10 195525
11 195723
12 195322
13 198420
14 196620
15 195815
16
The metabolic activation of 2-naphthylamine to mutagens in the Ames test.
198712
17 195711
18 19829
19
AN ATTEMPT TO PREVENT THE INDUCTION OF BLADDER CANCER IN DOGS WITH 1,4-GLUCOSACCHAROLACTONE.
19658
20 19567

About D. Manson

D. Manson is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Pharmaceutical Science and Pharmacology, having authored 29 papers that have together received 664 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Chemical Reaction Mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Chemical Reactions and Isotopes (4 papers), Organic and Inorganic Chemical Reactions (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Synthesis and Characterization of Heterocyclic Compounds (3 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Biochemistry (117 citations), Pharmacology (109 citations), Cancer Research (140 citations), Pharmaceutical Science (59 citations) and Clinical Biochemistry (47 citations). D. Manson has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include E. Boyland, J. W. Gorrod, S. F. D. Orr, Rosane Maria Nery, Peter Sims, C E Dukes, P.L. Grover, Joan Booth, D. Clive Williams and J. B. Solomon. Their work appears in journals such as Drug Metabolism and Disposition, Chemico-Biological Interactions, Xenobiotica, British Journal of Cancer and AORN Journal.

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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