Jyotsna Agarwal

482 citations
63 papers · 342 · h-index 10

Impact in

Papers in

Jyotsna Agarwal

52 papers receiving 314 citations

Peers

Jyotsna Agarwal
Comparison fields: 5 of 81
  • Applied Microbiology and Biotechnology 20
  • Infectious Diseases 127
  • Clinical Biochemistry 32
  • Molecular Medicine 22
  • Endocrinology 16
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Citations per field
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Citations per year

Countries citing papers authored by Jyotsna Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Jyotsna Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202047
2 201433
3 202224
4
Role of yeasts as nosocomial pathogens & their susceptibility to fluconazole & amphotericin B.
199922
5 201222
6 200920
7
Significance of coagulase negative staphylococci in neonates with late onset septicemia.
200414
8
Seroanalysis of Chlamydia trachomatis and S-TORCH agents in women with recurrent spontaneous abortions.
200313
9 201312
10 201510
11 202410
12 20219
13 20217
14 20237
15
Prevalence of genital Chlamydia trachomatis in women using PCR on urine specimen
20106
16 20156
17 20215
18 20234
19 20234
20 20214

About Jyotsna Agarwal

Jyotsna Agarwal is a scholar working on Infectious Diseases, Clinical Biochemistry, Molecular Medicine, Microbiology and Epidemiology, having authored 63 papers that have together received 342 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (11 papers), Antibiotic Resistance in Bacteria (9 papers), Urinary Tract Infections Management (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Reproductive tract infections research (5 papers), SARS-CoV-2 detection and testing (4 papers), Streptococcal Infections and Treatments (4 papers) and Antibiotic Use and Resistance (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (20 citations), Infectious Diseases (127 citations), Clinical Biochemistry (32 citations), Molecular Medicine (22 citations) and Endocrinology (16 citations). Jyotsna Agarwal has collaborated with scholars based in India, United States and Oman. Frequent co-authors include Anupam Das, Jaya Garg, Mastan Singh, Richa Khanna, Archana Ayyagari, Ashish Kumar Verma, Amita Jain, Kuldeep Singh, Shubhi Srivastava and Seema Bansal. Their work appears in journals such as Journal of Medical Virology, Journal of Investigative Medicine, International Journal of Clinical Practice, Indian Journal of Critical Care Medicine and International Journal of Critical Illness and Injury Science.

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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