Mau Sinha

2.1k citations
57 papers · 1.8k · h-index 21

Impact in

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 5
    • Invertebrate Immune Response Mechanisms 4
    • Antimicrobial Peptides and Activities 8

Mau Sinha

55 papers receiving 1.7k citations

Peers

Mau Sinha
Comparison fields: 5 of 126
  • Microbiology 142
  • Nutrition and Dietetics 269
  • Biotechnology 155
  • Virology 78
  • Genetics 315
Replace Carlos A. Nino de Guzman with:
Carlos A. Nino de Guzman Argentina
Yiqun Deng China
Zhenguang Liu China
Jean‐Michel Girardet France
Carlos Alberto Pujol Argentina
Minas Arsenakis Greece
István Nagy Germany
Chang Won Choi South Korea
Servaas Visser Netherlands
Matheus de Freitas Fernandes‐Pedrosa Brazil
Mau Sinha relative to Carlos A. Nino de Guzman Argentina Carlos A. Nino de Guzman's profile →
Citations per field
00.5×2×4×6.7×
Carlos A. Nino de Guzman · 1×
Citations per year

Countries citing papers authored by Mau Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Mau Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011258
2 2014197
3 2013113
4 2010113
5 2013109
6 2011101
7 202271
8
Lactoperoxidase: structural insights into the function,ligand binding and inhibition.
201367
9 201349
10 200946
11 201136
12 200935
13 200935
14 201434
15 201432
16 201429
17 202029
18 201326
19 200325
20 201022

About Mau Sinha

Mau Sinha is a scholar working on Immunology, Microbiology, Nutrition and Dietetics, Biotechnology and Molecular Biology, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (8 papers), Infant Nutrition and Health (7 papers), RNA and protein synthesis mechanisms (5 papers), Glycosylation and Glycoproteins Research (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Acne and Rosacea Treatments and Effects (4 papers) and Nail Diseases and Treatments (4 papers). The work is most often cited by research in Microbiology (142 citations), Nutrition and Dietetics (269 citations), Biotechnology (155 citations), Virology (78 citations) and Genetics (315 citations). Mau Sinha has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Tej Pal Singh, Punit Kaur, Sujata Sharma, Sanket Kaushik, Sujata Pandit Sharma, Sharmistha Dey, G.S. Kushwaha, Avinash Kumar Singh, N. Singh and Amit Kumar Singh. Their work appears in journals such as Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, FEBS Journal, PLoS ONE and International Journal of Biological Macromolecules.

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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