Mita Das

23 papers receiving 996 citations

Peers

Mita Das
Comparison fields: 5 of 73
  • Pulmonary and Respiratory Medicine 485
  • Neurology 90
  • Developmental Neuroscience 12
  • Physiology 15
  • Genetics 30
Replace Cui Jiang with:
Cui Jiang China
Krystyna Teichert-Kuliszewska Canada
Sushma Kaul United States
Roberta Ciarapica Italy
Vidar Beisvåg Norway
Erika Bergsten Folestad Sweden
Kaori Ihida‐Stansbury United States
Yangfan Ye China
Zhirong Sun China
Mita Das relative to Cui Jiang China Cui Jiang's profile →
Citations per field
00.5×2×4×6.9×
Cui Jiang · 1×
Citations per year

Countries citing papers authored by Mita Das

Since Specialization
Citations

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

Fields of papers citing papers by Mita Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006217
2 2002140
3 2001108
4 2011106
5 200494
6 200062
7 201344
8 201237
9 200630
10 199629
11 200726
12 201425
13 201423
14 199922
15 201222
16 199718
17 199813
18 201112
19 20055
20 20185

About Mita Das

Mita Das is a scholar working on Pulmonary and Respiratory Medicine, Developmental Neuroscience, Molecular Biology, Neurology and Pharmacology, having authored 24 papers that have together received 1k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (15 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Redox biology and oxidative stress (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neonatal Respiratory Health Research (1 paper), Prenatal Substance Exposure Effects (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (485 citations), Neurology (90 citations), Developmental Neuroscience (12 citations), Physiology (15 citations) and Genetics (30 citations). Mita Das has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Kurt R. Stenmark, Evgenia V. Gerasimovskaya, W. Michael Zawada, Raphael A. Nemenoff, Maria G. Frid, Neil J. Davie, Evgeniy Panzhinskiy, Edward C. Dempsey, W. Sue T. Griffin and Daniel C. Hopkins. Their work appears in journals such as CHEST Journal, American Journal of Physiology-Cell Physiology, Pulmonary Circulation, Journal of Pharmacy and Pharmacology and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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