Arshad Rizvi

413 citations
19 papers · 292 · h-index 12

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 8
    • Clostridium difficile and Clostridium perfringens research 3
    • Gut microbiota and health 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Cancer therapeutics and mechanisms 2
    • Biochemical and Molecular Research 2

Arshad Rizvi

19 papers receiving 289 citations

Peers

Arshad Rizvi
Comparison fields: 5 of 70
  • Infectious Diseases 149
  • Molecular Medicine 33
  • Epidemiology 83
  • Molecular Biology 126
  • Virology 8
Replace Michael Dal Molin with:
Michael Dal Molin Germany
Ramakrishnan Ajay Kumar India
Nadia Saïdani France
Christopher Ealand South Africa
Jickky Palmae Sarathy United States
John W. Annand United States
Antónia Jekkel Hungary
Manju Yasoda Krishnan India
Lucinda Lamb United States
Arshad Rizvi relative to Michael Dal Molin Germany Michael Dal Molin's profile →
Citations per field
00.5×
Michael Dal Molin · 1×
Citations per year

Countries citing papers authored by Arshad Rizvi

Since Specialization
Citations

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

Fields of papers citing papers by Arshad Rizvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201068
2 201934
3 202025
4 202123
5 201519
6 201618
7 202116
8 202115
9 201213
10 201913
11 201812
12 202311
13 20168
14 20197
15 20244
16 20222
17 20252
18 20171
19 20251

About Arshad Rizvi

Arshad Rizvi is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Organic Chemistry and Pharmacology, having authored 19 papers that have together received 292 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (6 papers), Gut microbiota and health (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Antibiotic Resistance in Bacteria (2 papers), Cancer therapeutics and mechanisms (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Infectious Diseases (149 citations), Molecular Medicine (33 citations), Epidemiology (83 citations), Molecular Biology (126 citations) and Virology (8 citations). Arshad Rizvi has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Arunasree M. Kalle, Sharmistha Banerjee, Srikanth Rapole, Shekhar C. Mande, Rakesh Ganji, Shonna M. McBride, Adrianne N. Edwards, Germán Vargas-Cuebas, Flávia Viana and Gunnar N. Schroeder. Their work appears in journals such as Cellular Microbiology, Emerging Microbes & Infections, Biomedical Journal, ACS Infectious Diseases and Frontiers in Microbiology.

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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