M Plat

1.5k citations
83 papers · 1.1k · h-index 18

Impact in

  • Pharmacology top 0.5%
    • Alkaloids: synthesis and pharmacology
    • Berberine and alkaloids research
    • Plant-based Medicinal Research
    • Traditional and Medicinal Uses of Annonaceae

Papers in

M Plat

80 papers receiving 1.0k citations

Peers

M Plat
Comparison fields: 5 of 84
  • Pharmacology 501
  • Biochemistry 288
  • Organic Chemistry 612
  • Toxicology 43
  • Pharmacology 198
Replace Joju Haginiwa with:
Joju Haginiwa Japan
Edmundo A. Rúveda Argentina
Philip W. Le Quesne United States
I. R. C. Bick Australia
SR Johns Australia
W. I. Taylor United States
Hisashi Ishii Japan
Hélène Guinaudeau United States
Sheng‐Teh Lu Taiwan
E Ritchie Australia
M Plat relative to Joju Haginiwa Japan Joju Haginiwa's profile →
Citations per field
00.5×
Joju Haginiwa · 1×
Citations per year

Countries citing papers authored by M Plat

Since Specialization
Citations

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

Fields of papers citing papers by M Plat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992110
2 1973102
3 198681
4 197749
5 197448
6 197840
7 197536
8 197631
9 196228
10 197827
11 197025
12 197321
13 198321
14 200220
15 198320
16 199120
17 198518
18 197817
19 199517
20 199516

About M Plat

M Plat is a scholar working on Organic Chemistry, Pharmacology, Molecular Biology, Biochemistry and Plant Science, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alkaloids: synthesis and pharmacology (25 papers), Chemical synthesis and alkaloids (21 papers), Traditional and Medicinal Uses of Annonaceae (21 papers), Plant-based Medicinal Research (9 papers), Molecular spectroscopy and chirality (8 papers), Analytical Chemistry and Chromatography (7 papers), Natural product bioactivities and synthesis (6 papers) and Botanical Research and Chemistry (5 papers). The work is most often cited by research in Pharmacology (501 citations), Biochemistry (288 citations), Organic Chemistry (612 citations), Toxicology (43 citations) and Pharmacology (198 citations). M Plat has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Jean Andrieux, Ernest Wenkert, Alain Rabaron, Pierre Potìer, Edward W. Hagaman, Fred M. Schell, Norbert Neuss, Daniel Mansuy, Patrick M. Dansette and Michel Koch. Their work appears in journals such as Phytochemistry, Tetrahedron Letters, Tetrahedron, The Journal of Organic Chemistry and Journal of Natural Products.

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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