Deepali Jain

9.8k citations
284 papers · 4.7k · 1 hit paper · h-index 33

Impact in

Papers in

Deepali Jain

271 papers receiving 4.6k citations

Deepali Jain's Hit Papers

The 2021 WHO Classification of Lung Tumors: Impact of Advances Since 2015 2021 · 829 citations
8290+1+3Years since publication250500750

Peers

Deepali Jain
Comparison fields: 5 of 147
  • Pulmonary and Respiratory Medicine 1.4k
  • Oncology 943
  • Cancer Research 324
  • Hepatology 165
  • Neurology 286
Replace Michael Michael with:
Michael Michael Australia
Lioe‐Fee de Geus‐Oei Netherlands
Cristina Nanni Italy
Marcella M. Johnson United States
Marc B. Garnick United States
Olivier Mir France
Romain Coriat France
Yuji Yamamoto Japan
Wei Wei United States
Ryohei Sasaki Japan
Deepali Jain relative to Michael Michael Australia Michael Michael's profile →
Citations per field
00.5×1.5×1.8×
Michael Michael · 1×
Citations per year

Countries citing papers authored by Deepali Jain

Since Specialization
Citations

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

Fields of papers citing papers by Deepali Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 284 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The 2021 WHO Classification of Lung Tumors: Impact of Advances Since 2015
Hit paper breakdown →
2021829
2 2014137
3 2017122
4 2022118
5 202096
6 201982
7 201877
8 201871
9 200667
10 202066
11 202064
12 200662
13 200862
14 202260
15 201459
16 202157
17 201451
18 201649
19 201849
20 201349

About Deepali Jain

Deepali Jain is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Epidemiology and Molecular Biology, having authored 284 papers that have together received 4.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (40 papers), Lung Cancer Diagnosis and Treatment (30 papers), Thyroid Cancer Diagnosis and Treatment (18 papers), Salivary Gland Tumors Diagnosis and Treatment (14 papers), Lung Cancer Research Studies (14 papers), Myasthenia Gravis and Thymoma (11 papers), Cancer Genomics and Diagnostics (11 papers) and Chromatin Remodeling and Cancer (10 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.4k citations), Oncology (943 citations), Cancer Research (324 citations), Hepatology (165 citations) and Neurology (286 citations). Deepali Jain has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Aruna Nambirajan, Sandeep Mathur, Venkateswaran K. Iyer, Mehar Chand Sharma, Anant Mohan, Karan Madan, Mary Beth Beasley, Natasha Rekhtman, Yasushi Yatabe and Sinchita Roy‐Chowdhuri. Their work appears in journals such as Cytopathology, Diagnostic Cytopathology, Acta Cytologica, Archives of Pathology & Laboratory Medicine and Journal of Thoracic Oncology.

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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