Daniel Maume

1.4k citations
39 papers · 1.2k · h-index 18

Impact in

Papers in

Daniel Maume

39 papers receiving 1.1k citations

Peers

Daniel Maume
Comparison fields: 5 of 103
  • Health, Toxicology and Mutagenesis 474
  • Animal Science and Zoology 177
  • Endocrinology, Diabetes and Metabolism 164
  • Pollution 119
  • Analytical Chemistry 89
Replace V. J. Feil with:
V. J. Feil United States
Yuesong Wang United States
Satoshi Takatori Japan
Eline P. Meulenberg Netherlands
John J. Ryan United States
R.A. Caro Argentina
Hirohiko YAMADA Japan
Giovanna Fago Italy
Nicholas Olejnik United States
H. Scherz Germany
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Citations per field
00.5×7.5×
V. J. Feil · 1×
Citations per year

Countries citing papers authored by Daniel Maume

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Maume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008212
2 2008152
3 200878
4 200772
5 200057
6 200655
7 200550
8 200147
9 200440
10 199740
11 200639
12 200635
13 199730
14 199727
15 199421
16 200619
17 200319
18 199818
19 200415
20 197714

About Daniel Maume

Daniel Maume is a scholar working on Organic Chemistry, Endocrinology, Diabetes and Metabolism, Animal Science and Zoology, Spectroscopy and Molecular Biology, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Synthesis and Characterization of Heterocyclic Compounds (12 papers), Hormonal and reproductive studies (11 papers), Pharmacological Effects and Assays (7 papers), Chemical Reaction Mechanisms (7 papers), Estrogen and related hormone effects (4 papers), Synthesis and Reactivity of Heterocycles (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Synthesis and Biological Evaluation (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (474 citations), Animal Science and Zoology (177 citations), Endocrinology, Diabetes and Metabolism (164 citations), Pollution (119 citations) and Analytical Chemistry (89 citations). Daniel Maume has collaborated with scholars based in France, Sweden and Ivory Coast. Frequent co-authors include Bruno Le Bizec, François André, Fabrice Monteau, Jean‐Philippe Antignac, Daniel Zalko, Jean‐Pierre Cravedi, Alain Berrébi, Ronan Cariou, M. ROBBA and Anne Riu. Their work appears in journals such as Analytica Chimica Acta, Tetrahedron Letters, Food Additives & Contaminants, Apmis and The Analyst.

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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