Smita Singhal

21 papers receiving 904 citations

Peers

Smita Singhal
Comparison fields: 5 of 100
  • Molecular Medicine 130
  • Endocrinology 101
  • Microbiology 108
  • Periodontics 80
  • Infectious Diseases 282
Replace Tarun Mathur with:
Tarun Mathur India
Sueli Fumie Yamada‐Ogatta Brazil
Ezzat Allah Ghaemi Iran
Leandro Reus Rodrigues Perez Brazil
Austin S. Nuxoll United States
Ricardo Pinto Schuenck Brazil
Titik Nuryastuti Indonesia
Fatima Kaleem Pakistan
Yuly López Spain
Muhammad Naeem Iqbal China
Smita Singhal relative to Tarun Mathur India Tarun Mathur's profile →
Citations per field
00.5×1.5×
Tarun Mathur · 1×
Citations per year

Countries citing papers authored by Smita Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Smita Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006390
2 2006225
3 201555
4 201544
5 200843
6 200742
7 200538
8 200928
9 200722
10 200522
11 201819
12 202115
13 200810
14 20128
15
Resistant coagulase negative staphylococci from clinical samples.
19916
16 20196
17 20073
18 20082
19
Determination of methicillin resistant Staphylococcus aureus (MRSA) using several phenotypic methods--a report from a tertiary care center at New Delhi, India.
20112
20 20072

About Smita Singhal

Smita Singhal is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Organic Chemistry and Clinical Biochemistry, having authored 21 papers that have together received 983 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Bacterial biofilms and quorum sensing (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antibiotic Resistance in Bacteria (5 papers), Pneumonia and Respiratory Infections (5 papers), Synthesis and biological activity (3 papers), Antifungal resistance and susceptibility (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Molecular Medicine (130 citations), Endocrinology (101 citations), Microbiology (108 citations), Periodontics (80 citations) and Infectious Diseases (282 citations). Smita Singhal has collaborated with scholars based in India, Norway and Trinidad and Tobago. Frequent co-authors include Tarun Mathur, Tasneem Fatma, Samiullah Khan, A Rattan, Dilip J. Upadhyay, Ashok Rattan, Seema Khan, V. Samuel Raj, Vandana Kalia and Monorama Deb. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Emerging infectious diseases, International Journal of Antimicrobial Agents, Journal of Antimicrobial Chemotherapy and ACS Medicinal Chemistry Letters.

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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