Diptiman Chanda

3.0k citations
37 papers · 2.2k · 1 hit paper · h-index 23

Impact in

Papers in

Diptiman Chanda

36 papers receiving 2.2k citations

Diptiman Chanda's Hit Papers

Developmental pathways in the pathogenesis of lung fibrosis 2018 · 361 citations
3610+2+5Years since publication100200300

Peers

Diptiman Chanda
Comparison fields: 5 of 107
  • Genetics 413
  • Cancer Research 373
  • Pulmonary and Respiratory Medicine 771
  • Oncology 551
  • Molecular Biology 990
Replace Austin G. Diamond with:
Austin G. Diamond United Kingdom
Katarzyna Miękus Poland
Kankatsu Yun New Zealand
Jason Ross United States
Kouki Inai Japan
Hans‐Willem Snoeck United States
Hernan Roca United States
Hee Jung An South Korea
J. Schütte Germany
Wei Zhu China
Diptiman Chanda relative to Austin G. Diamond United Kingdom Austin G. Diamond's profile →
Citations per field
00.5×4.9×
Austin G. Diamond · 1×
Citations per year

Countries citing papers authored by Diptiman Chanda

Since Specialization
Citations

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

Fields of papers citing papers by Diptiman Chanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Developmental pathways in the pathogenesis of lung fibrosis
Hit paper breakdown →
2018361
2 2015192
3 2008163
4 2012154
5 2008152
6 2018151
7 2008118
8 201094
9 201787
10 201881
11 201875
12 201669
13 200949
14 201043
15 200740
16 201639
17 202137
18 202231
19 200830
20 201226

About Diptiman Chanda

Diptiman Chanda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Oncology and Surgery, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Bone health and treatments (5 papers), Neonatal Respiratory Health Research (5 papers), Mesenchymal stem cell research (4 papers), Cell Adhesion Molecules Research (4 papers), Extracellular vesicles in disease (4 papers) and Bone Metabolism and Diseases (4 papers). The work is most often cited by research in Genetics (413 citations), Cancer Research (373 citations), Pulmonary and Respiratory Medicine (771 citations), Oncology (551 citations) and Molecular Biology (990 citations). Diptiman Chanda has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Selvarangan Ponnazhagan, Sanjay Kumar, Victor J. Thannickal, Stijn De Langhe, Thomas Volckaert, Eva Otoupalova, Gene P. Siegal, S. Ray Smith, Changchun Ren and John D. Mountz. Their work appears in journals such as Clinical Cancer Research, The Prostate, Scientific Reports, Gene Therapy and PLoS ONE.

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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