Samrita Dogra

1.2k citations
20 papers · 980 · h-index 12

Impact in

Papers in

Samrita Dogra

19 papers receiving 926 citations

Peers

Samrita Dogra
Comparison fields: 5 of 88
  • Complementary and alternative medicine 257
  • Molecular Medicine 98
  • Biological Psychiatry 45
  • Pharmacology 212
  • Cellular and Molecular Neuroscience 239
Replace Awanish Mishra with:
Awanish Mishra India
Laraib Liaquat Pakistan
Sachin Patil United States
Rizwana Tabassum India
Rajeswara Babu Mythri India
Zahra Kiasalari Iran
Tatsuhiro Akaishi Japan
Md. Ejaz Ahmed India
Miaoxian Dong China
Angélica María Sabogal-Guáqueta Colombia
Samrita Dogra relative to Awanish Mishra India Awanish Mishra's profile →
Citations per field
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Awanish Mishra · 1×
Citations per year

Countries citing papers authored by Samrita Dogra

Since Specialization
Citations

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

Fields of papers citing papers by Samrita Dogra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2009174
2 2009163
3 2011109
4 2009106
5 201086
6 201179
7 201168
8 200959
9 202139
10 200832
11 201927
12 202313
13 202010
14 20217
15 20243
16 20242
17 20231
18 20161
19 20251
20 20250

About Samrita Dogra

Samrita Dogra is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 980 indexed citations. Recurring topics across this work include Antioxidants, Aging, Portulaca oleracea (4 papers), Biochemical effects in animals (4 papers), Apelin-related biomedical research (4 papers), Medicinal Plants and Neuroprotection (3 papers), Lipid metabolism and disorders (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Aluminum toxicity and tolerance in plants and animals (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Complementary and alternative medicine (257 citations), Molecular Medicine (98 citations), Biological Psychiatry (45 citations), Pharmacology (212 citations) and Cellular and Molecular Neuroscience (239 citations). Samrita Dogra has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Anil Kumar, Atish Prakash, Sukyung Woo, Deepika Neelakantan, Beth Griesel, Ann Louise Olson, Bethany N. Hannafon, Katherine Moxley, Resham Bhattacharya and Ralf Janknecht. Their work appears in journals such as Cancer Letters, Molecular Cancer Research, International Journal of Alzheimer s Disease, Molecular Cancer and American Journal Of Pathology.

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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