A. Douangamath

3.4k citations
25 papers · 1.1k · h-index 16

Impact in

Papers in

    • Protein Structure and Dynamics 7
    • Biochemical and Molecular Research 3
    • Glycosylation and Glycoproteins Research 2
    • RNA and protein synthesis mechanisms 2
    • Enzyme Structure and Function 13

A. Douangamath

24 papers receiving 1.1k citations

Peers

A. Douangamath
Comparison fields: 5 of 90
  • Computational Theory and Mathematics 209
  • Molecular Biology 766
  • Infectious Diseases 168
  • Structural Biology 13
  • Materials Chemistry 295
Replace Kellon Belfon with:
Kellon Belfon United States
Lauren Raguette United States
Kenneth Borrelli United States
John D. Bickel United States
Karim M. ElSawy United Kingdom
Shuchismita Dutta United States
Theresa A. Ramelot United States
Gianluca Degliesposti United Kingdom
Cole Christie United States
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Citations per field
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Citations per year

Countries citing papers authored by A. Douangamath

Since Specialization
Citations

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

Fields of papers citing papers by A. Douangamath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021168
2 2004108
3 200297
4 200289
5 200174
6 200269
7 201768
8 201764
9 202161
10 200355
11 202149
12 202142
13 200442
14 202341
15 202135
16 201834
17 201315
18 20197
19 20127
20 20245

About A. Douangamath

A. Douangamath is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Oncology and Computational Theory and Mathematics, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (13 papers), Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (3 papers), Biochemical and Molecular Research (3 papers), Click Chemistry and Applications (2 papers), Glycosylation and Glycoproteins Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (209 citations), Molecular Biology (766 citations), Infectious Diseases (168 citations), Structural Biology (13 citations) and Materials Chemistry (295 citations). A. Douangamath has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include F. von Delft, J. Brandão-Neto, Matthias Wilmanns, R. Talon, D. Fearon, T. Krojer, P.M. Collins, Christian Oefner, Henk Schulz and Glenn E. Dale. Their work appears in journals such as Journal of Molecular Biology, Nature Communications, Acta Crystallographica Section D Structural Biology, Molecular Cell and Journal of Medicinal Chemistry.

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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