N. Sukumar

1.0k citations
35 papers · 877 · h-index 15

Impact in

    • Protein Structure and Dynamics
    • Porphyrin Metabolism and Disorders
    • DNA and Nucleic Acid Chemistry
    • DNA Repair Mechanisms
  • Biomaterials top 10%
    • Advanced Cellulose Research Studies

Papers in

    • Protein Structure and Dynamics 7
    • Porphyrin Metabolism and Disorders 7
    • Microbial metabolism and enzyme function 4
    • Enzyme Structure and Function 14

N. Sukumar

34 papers receiving 864 citations

Peers

N. Sukumar
Comparison fields: 5 of 88
  • Molecular Biology 523
  • Biomaterials 97
  • Biochemistry 39
  • Rheumatology 54
  • Materials Chemistry 182
Replace Gerald Platzer with:
Gerald Platzer Austria
Craig T. Armstrong United Kingdom
Zhiyan Li China
Mengmeng Zheng China
Marcin Król Poland
Yuna Jung South Korea
J Schiller Germany
Hairong Ma China
Nataliia Beztsinna Netherlands
N. Sukumar relative to Gerald Platzer Austria Gerald Platzer's profile →
Citations per field
00.5×1.5×
Gerald Platzer · 1×
Citations per year

Countries citing papers authored by N. Sukumar

Since Specialization
Citations

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

Fields of papers citing papers by N. Sukumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002149
2 2005103
3 199892
4 200580
5 200758
6 202049
7 200440
8 201032
9 200131
10 200630
11 200028
12 200423
13 201922
14 200918
15 202216
16 200512
17 201311
18 202310
19 20099
20 20118

About N. Sukumar

N. Sukumar is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Cell Biology and Biochemistry, having authored 35 papers that have together received 877 indexed citations. Recurring topics across this work include Enzyme Structure and Function (14 papers), Protein Structure and Dynamics (7 papers), Porphyrin Metabolism and Disorders (7 papers), Hemoglobin structure and function (5 papers), Microbial metabolism and enzyme function (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Synthesis and biological activity (3 papers) and Synthesis and Reactions of Organic Compounds (2 papers). The work is most often cited by research in Molecular Biology (523 citations), Biomaterials (97 citations), Biochemistry (39 citations), Rheumatology (54 citations) and Materials Chemistry (182 citations). N. Sukumar has collaborated with scholars based in United States, India and France. Frequent co-authors include F. Scott Mathews, M. Vijayan, Paul Langan, H. Chanzy, Yoshiharu Nishiyama, Victor L. Davidson, Catherine G. Papanicolaou, Jean-Baptiste Boulé, Marc Delarue and Julien Lescar. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Biochimie, Bulletin of the Chemical Society of Japan and Journal of Biological 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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