Sona Mitra

1.4k citations
27 papers · 1.1k · h-index 15

Impact in

  • Aging top 5%
  • Immunology top 5%
    • Atherosclerosis and Cardiovascular Diseases
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

    • Atherosclerosis and Cardiovascular Diseases 12
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 6
    • Inflammatory mediators and NSAID effects 9

Sona Mitra

25 papers receiving 1.1k citations

Peers

Sona Mitra
Comparison fields: 5 of 104
  • Aging 52
  • Immunology 472
  • Biochemistry 130
  • Cancer Research 144
  • Pharmacology 142
Replace Kazuhiro Sonoda with:
Kazuhiro Sonoda Japan
Jianchang Qian China
Rodrigo Moore‐Carrasco Chile
Susanne Zadelaar Netherlands
Susana Vallejo Spain
Valerio Sanguigni Italy
Cynthia G. Sawyez Canada
Hai‐Han Liao China
Mingming Gao United States
Chang-Ping Hu China
Sona Mitra relative to Kazuhiro Sonoda Japan Kazuhiro Sonoda's profile →
Citations per field
00.5×2.6×
Kazuhiro Sonoda · 1×
Citations per year

Countries citing papers authored by Sona Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Sona Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011249
2 2011166
3 2011141
4 201299
5 201296
6 201193
7 201145
8 201142
9 201231
10 201226
11 201018
12 201318
13 201218
14 201216
15 201216
16 201212
17 201112
18 201011
19 20128
20 20127

About Sona Mitra

Sona Mitra is a scholar working on Immunology, Pharmacology, Cardiology and Cardiovascular Medicine, Molecular Biology and Biochemistry, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (12 papers), Inflammatory mediators and NSAID effects (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Antioxidant Activity and Oxidative Stress (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Long-Term Effects of COVID-19 (2 papers), Renin-Angiotensin System Studies (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Aging (52 citations), Immunology (472 citations), Biochemistry (130 citations), Cancer Research (144 citations) and Pharmacology (142 citations). Sona Mitra has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Jawahar L. Mehta, Tanu Goyal, Magomed Khaidakov, Jingjun Lü, Xianwei Wang, Abhishek Deshmukh, Rajesh Sachdeva, Zufeng Ding, Srinivas Ayyadevara and Robert J. Shmookler Reis. Their work appears in journals such as PLoS ONE, Journal of Cardiovascular Pharmacology, Antioxidants and Redox Signaling, Cardiovascular Drugs and Therapy and APOPTOSIS.

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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