Rupal Deva

731 citations
16 papers · 582 · h-index 10

Impact in

Papers in

    • Antifungal resistance and susceptibility 6
    • Tuberculosis Research and Epidemiology 2
    • Inflammatory mediators and NSAID effects 2
    • Cannabis and Cannabinoid Research 1
    • Antibiotics Pharmacokinetics and Efficacy 1

Rupal Deva

14 papers receiving 566 citations

Peers

Rupal Deva
Comparison fields: 5 of 92
  • Biochemistry 47
  • Infectious Diseases 106
  • Cardiology and Cardiovascular Medicine 117
  • Pharmacology 89
  • Obstetrics and Gynecology 22
Replace Olga N. Ivanova with:
Olga N. Ivanova Russia
Soyoung Shin South Korea
Sang‐In Chung South Korea
Jeffrey C. Hoyt United States
Bettina Schneider Germany
John Coley United Kingdom
María Daniella Carretta Chile
Liliana Håversen Sweden
Seema Husain United States
Konstantin Sivak Russia
Rupal Deva relative to Olga N. Ivanova Russia Olga N. Ivanova's profile →
Citations per field
00.5×1.5×1.8×
Olga N. Ivanova · 1×
Citations per year

Countries citing papers authored by Rupal Deva

Since Specialization
Citations

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

Fields of papers citing papers by Rupal Deva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005181
2 200690
3 200366
4 200052
5 200150
6 200743
7 200736
8 201026
9 200712
10 200811
11 20075
12 20104
13 20142
14 19992
15 20141
16 20151

About Rupal Deva

Rupal Deva is a scholar working on Infectious Diseases, Pharmacology, Biochemistry, Epidemiology and Cancer Research, having authored 16 papers that have together received 582 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (6 papers), Tuberculosis Research and Epidemiology (2 papers), Inflammatory mediators and NSAID effects (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Cannabis and Cannabinoid Research (1 paper), Fungal Infections and Studies (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Biochemistry (47 citations), Infectious Diseases (106 citations), Cardiology and Cardiovascular Medicine (117 citations), Pharmacology (89 citations) and Obstetrics and Gynecology (22 citations). Rupal Deva has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Santosh Nigam, Roberto Ciccoli, Enrico Stefani, Tamara Y. Minosyan, Ligia Toro, Mansoureh Eghbali, Abderrahmane Alioua, Yibin Wang, Hongmei Ruan and Pattabhiraman Shankaranarayanan. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, European Journal of Obstetrics & Gynecology and Reproductive Biology, FEBS Journal, Prostaglandins & Other Lipid Mediators and Journal of Molecular Medicine.

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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