Nirjara Singhvi

458 citations
34 papers · 237 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Tuberculosis Research and Epidemiology
    • Viral gastroenteritis research and epidemiology

Papers in

Nirjara Singhvi

27 papers receiving 232 citations

Peers

Nirjara Singhvi
Comparison fields: 5 of 79
  • Infectious Diseases 88
  • Virology 11
  • Molecular Medicine 10
  • Molecular Biology 117
  • Animal Science and Zoology 14
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Citations per field
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Citations per year

Countries citing papers authored by Nirjara Singhvi

Since Specialization
Citations

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

Fields of papers citing papers by Nirjara Singhvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 201946
3 202123
4 202016
5 201911
6 20209
7 20239
8
VA-mycorrhizal association in arjuna and jamun trees in forest of Bhandara region, Maharashtra, India.
20097
9 20237
10 20217
11 20236
12 20236
13 20206
14 20235
15 20244
16 20233
17 20243
18 20213
19 20232
20
Extent of adoption of improved sericultural practices by the sericulturists of Buldhana district of Maharashtra.
20132

About Nirjara Singhvi

Nirjara Singhvi is a scholar working on Molecular Biology, Insect Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Pharmacology, having authored 34 papers that have together received 237 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Silkworms and Sericulture Research (8 papers), Microbial Natural Products and Biosynthesis (4 papers), Agricultural Systems and Practices (4 papers), Tuberculosis Research and Epidemiology (3 papers), Antibiotic Resistance in Bacteria (3 papers), Agricultural Practices and Plant Genetics (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Infectious Diseases (88 citations), Virology (11 citations), Molecular Medicine (10 citations), Molecular Biology (117 citations) and Animal Science and Zoology (14 citations). Nirjara Singhvi has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Vipin Gupta, Yogendra Singh, Rup Lal, Utkarsh Sood, Roshan Kumar, Akshita Puri, Gyanendra P. Dubey, Pratyoosh Shukla, Mohita Gaur and Helianthous Verma. Their work appears in journals such as mSystems, Infection Genetics and Evolution, Functional & Integrative Genomics, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Journal of Proteomics.

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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