N. Manoj

874 citations
38 papers · 630 · h-index 13

Impact in

    • Glycosylation and Glycoproteins Research
    • Lipid Membrane Structure and Behavior
    • Enzyme Catalysis and Immobilization
    • Receptor Mechanisms and Signaling

Papers in

    • Glycosylation and Glycoproteins Research 8
    • Enzyme Catalysis and Immobilization 5
    • Receptor Mechanisms and Signaling 5
    • Protein Structure and Dynamics 4
    • Enzyme Structure and Function 13

N. Manoj

37 papers receiving 616 citations

Peers

N. Manoj
Comparison fields: 5 of 99
  • Biotechnology 67
  • Molecular Biology 432
  • Immunology 107
  • Cellular and Molecular Neuroscience 92
  • Neurology 37
Replace Yasuhiro Takenaka with:
Yasuhiro Takenaka Japan
Francesca Doonan Ireland
Yohei Ishibashi Japan
Anthony J. Lanzetti United States
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Kei Hashimoto Japan
Élisabeth Trifilieff France
Makoto Hashimoto Japan
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Citations per field
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Yasuhiro Takenaka · 1×
Citations per year

Countries citing papers authored by N. Manoj

Since Specialization
Citations

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

Fields of papers citing papers by N. Manoj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007176
2 200871
3 201436
4 200033
5 200132
6 200325
7 201920
8 201218
9 200315
10 200115
11 201714
12 202013
13 201613
14 201812
15 201912
16 201611
17 201110
18 200810
19 201710
20 19999

About N. Manoj

N. Manoj is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Cellular and Molecular Neuroscience and Immunology, having authored 38 papers that have together received 630 indexed citations. Recurring topics across this work include Enzyme Structure and Function (13 papers), Glycosylation and Glycoproteins Research (8 papers), Enzyme Catalysis and Immobilization (5 papers), Receptor Mechanisms and Signaling (5 papers), Carbohydrate Chemistry and Synthesis (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Protein Structure and Dynamics (4 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Biotechnology (67 citations), Molecular Biology (432 citations), Immunology (107 citations), Cellular and Molecular Neuroscience (92 citations) and Neurology (37 citations). N. Manoj has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Gopala Krishna Aradhyam, Sathyanarayana N. Gummadi, Santosh Kumar Sahu, K. Suguna, M. Vijayan, S.E. Ealick, V. R. Srinivas, Arunkumar Krishnan, Avadhesha Surolia and Tadhg P. Begley. Their work appears in journals such as PLoS ONE, Journal of Structural Biology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Proteins Structure Function and Bioinformatics and Protein Engineering Design and Selection.

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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