Aneesh Basheer

42 papers receiving 271 citations

Peers

Aneesh Basheer
Comparison fields: 5 of 91
  • Hematology 49
  • Family Practice 6
  • Sensory Systems 16
  • Infectious Diseases 58
  • Complementary and alternative medicine 24
Replace Soundravally Rajendiran with:
Soundravally Rajendiran India
Bernard Leroux France
Christopher Jankosky United States
Joo-Shil Lee South Korea
Marisela Palacios Reyes United States
Alfredo Pérez‐Rivilla Spain
Abebe Muche Ethiopia
Åsa Lindberg Sweden
Yoshifumi Kubota Japan
Olivier Paccoud France
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Citations per field
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Citations per year

Countries citing papers authored by Aneesh Basheer

Since Specialization
Citations

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

Fields of papers citing papers by Aneesh Basheer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201545
2 201524
3 201923
4 202220
5 202217
6 201414
7 202214
8 201612
9 201910
10 20219
11 20208
12 20157
13 20247
14 20156
15 20185
16 20155
17 20155
18 20134
19 20154
20 20154

About Aneesh Basheer

Aneesh Basheer is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Emergency Medicine, Neurology and General Health Professions, having authored 48 papers that have together received 281 indexed citations. Recurring topics across this work include Innovations in Medical Education (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Medicinal Plants and Neuroprotection (3 papers), Hematological disorders and diagnostics (3 papers), Long-Term Effects of COVID-19 (3 papers), Infectious Diseases and Tuberculosis (2 papers), Infectious Encephalopathies and Encephalitis (2 papers) and Poisoning and overdose treatments (2 papers). The work is most often cited by research in Hematology (49 citations), Family Practice (6 citations), Sensory Systems (16 citations), Infectious Diseases (58 citations) and Complementary and alternative medicine (24 citations). Aneesh Basheer has collaborated with scholars based in India, United Kingdom and Vietnam. Frequent co-authors include Somanath Padhi, Nayyar Iqbal, Jayaprakash Sahoo, K. Ravichandran, Venugopalan Y. Vishnu, Reba Kanungo, Ayush Agarwal, Anu Gupta, M.V. Padma Srivastava and K Thomas. Their work appears in journals such as Evidence-Based Nursing, Frontiers in Aging Neuroscience, Simulation in Healthcare The Journal of the Society for Simulation in Healthcare, PLoS ONE and QJM.

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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