Sheetal Verma

691 citations
26 papers · 421 · h-index 11

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 12
    • Antimicrobial Resistance in Staphylococcus 2
    • Mycobacterium research and diagnosis 7
    • Pneumonia and Respiratory Infections 3

Sheetal Verma

23 papers receiving 398 citations

Peers

Sheetal Verma
Comparison fields: 5 of 65
  • Infectious Diseases 268
  • Applied Microbiology and Biotechnology 12
  • Clinical Biochemistry 38
  • Immunology 112
  • Epidemiology 129
Replace Julien Senécal with:
Julien Senécal Canada
Gargi Upadhyaya United States
Nadia Keller Switzerland
Abiye Tigabu Ethiopia
Elisabetta Ugolotti Italy
Corinna Hahn‐Ast Germany
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Citations per field
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Citations per year

Countries citing papers authored by Sheetal Verma

Since Specialization
Citations

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

Fields of papers citing papers by Sheetal Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201597
2
Growing problem of methicillin resistant staphylococci--Indian scenario.
200089
3 202249
4 201936
5 201230
6
Grb2-associated binding (Gab) proteins in hematopoietic and immune cell biology.
201120
7 201816
8 202115
9 201813
10 202111
11 201310
12 20168
13 20118
14 20234
15 20193
16 20193
17 20242
18 20202
19 20161
20 20181

About Sheetal Verma

Sheetal Verma is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Organic Chemistry, having authored 26 papers that have together received 421 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (7 papers), Pneumonia and Respiratory Infections (3 papers), Parasitic Infections and Diagnostics (2 papers), interferon and immune responses (2 papers), Protein Tyrosine Phosphatases (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Infectious Diseases (268 citations), Applied Microbiology and Biotechnology (12 citations), Clinical Biochemistry (38 citations), Immunology (112 citations) and Epidemiology (129 citations). Sheetal Verma has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Padmini Salgame, Jerrold J. Ellner, Kamlesh Bhatt, V Chitnis, DS Chitnis, Kevin D. Bunting, María de la Fuente, Marvin T. Nieman, Reynaldo Dietze and Moisés Palaci. Their work appears in journals such as BMC Infectious Diseases, The Journal of Immunology, Nature Communications, Journal of Clinical Microbiology and Clinical and Vaccine Immunology.

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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