Mandar Joshi

46 papers receiving 1.2k citations

Peers

Mandar Joshi
Comparison fields: 5 of 135
  • Cardiology and Cardiovascular Medicine 278
  • Critical Care and Intensive Care Medicine 58
  • Endocrine and Autonomic Systems 60
  • Radiology, Nuclear Medicine and Imaging 201
  • Physiology 208
Replace Neel R. Sodha with:
Neel R. Sodha United States
Silvia Riondino Italy
Héctor De León United States
Mark D. Benson United States
Yoshiro Naito Japan
Daiju Fukuda Japan
Attila Fehér United States
G. Riegger Germany
Włodzimierz J. Musiał Poland
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Citations per field
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Citations per year

Countries citing papers authored by Mandar Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Mandar Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012126
2 2007113
3 200683
4 201270
5 200470
6 200655
7 200846
8 201039
9 200838
10 202237
11 201635
12 201434
13 201332
14 200730
15 200228
16 201526
17 201424
18 201723
19 202323
20 201520

About Mandar Joshi

Mandar Joshi is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (9 papers), Neonatal Respiratory Health Research (8 papers), Natural Language Processing Techniques (7 papers), Neuroscience of respiration and sleep (6 papers), Topic Modeling (6 papers), Signaling Pathways in Disease (3 papers), Mitochondrial Function and Pathology (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (278 citations), Critical Care and Intensive Care Medicine (58 citations), Endocrine and Autonomic Systems (60 citations), Radiology, Nuclear Medicine and Imaging (201 citations) and Physiology (208 citations). Mandar Joshi has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include John Anthony Bauer, Judith A. Groner, Chieko Mineo, Philip W. Shaul, Elliott D. Crouser, M Julián, Brandon Schanbacher, P. Artur Plett, Hui Lin Chua and Carol H. Sampson. Their work appears in journals such as Pediatric Research, Health Physics, Critical Care Medicine, Life Sciences 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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