Desh Deepak Singh

1.8k citations
88 papers · 1.3k · h-index 23

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • CRISPR and Genetic Engineering 5
    • SARS-CoV-2 and COVID-19 Research 8
    • COVID-19 Clinical Research Studies 5

Desh Deepak Singh

85 papers receiving 1.2k citations

Peers

Desh Deepak Singh
Comparison fields: 5 of 127
  • Infectious Diseases 227
  • Biochemistry 42
  • Complementary and alternative medicine 55
  • Toxicology 23
  • Molecular Biology 463
Replace Sarah Albogami with:
Sarah Albogami Saudi Arabia
Parvaneh Mehrbod Iran
Chang Won Lee South Korea
Jae-Hyoung Song South Korea
Monika Sharma India
Syed Aun Muhammad Pakistan
Zhe Ren China
Saeed Banawas Saudi Arabia
Mehmet Özaslan Türkiye
Hyojeung Kang South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Desh Deepak Singh

Since Specialization
Citations

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

Fields of papers citing papers by Desh Deepak Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Desh Deepak Singh. 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 Desh Deepak Singh. The network helps show where Desh Deepak Singh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202179
2 201165
3 200561
4 202151
5 200645
6 200944
7 200835
8 201534
9 201634
10 200934
11 201932
12 202231
13 202130
14 202130
15 200730
16 201229
17 202327
18 202226
19
Trend of dengue virus infection at Lucknow, north India (2008- 2010): a hospital based study.
201226
20 201424

About Desh Deepak Singh

Desh Deepak Singh is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Food Science and Public Health, Environmental and Occupational Health, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Glycosylation and Glycoproteins Research (5 papers), COVID-19 Clinical Research Studies (5 papers), Mosquito-borne diseases and control (5 papers), Essential Oils and Antimicrobial Activity (5 papers), CRISPR and Genetic Engineering (5 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Trypanosoma species research and implications (4 papers). The work is most often cited by research in Infectious Diseases (227 citations), Biochemistry (42 citations), Complementary and alternative medicine (55 citations), Toxicology (23 citations) and Molecular Biology (463 citations). Desh Deepak Singh has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Dharmendra Kumar Yadav, Ihn Han, Amna Parveen, Sarika Amdekar, Eun Ha Choi, Vinod Kumar Singh, Bhuwan B. Mishra, M. Vijayan, Vinod K. Tiwari and Vyasji Tripathi. Their work appears in journals such as Cells, Biomedicines, RSC Medicinal Chemistry, Glycobiology and Current Topics in 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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