Deepshi Thakral

718 citations
37 papers · 508 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Viral gastroenteritis research and epidemiology

Papers in

    • Acute Myeloid Leukemia Research 11
    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 3

Deepshi Thakral

34 papers receiving 498 citations

Peers

Deepshi Thakral
Comparison fields: 5 of 64
  • Hepatology 254
  • Infectious Diseases 227
  • Small Animals 48
  • Hematology 69
  • Immunology 95
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S Tanikawa Japan
Maria Inês de Moura Campos Pardini Brazil
Verena Schlaphoff Germany
Patricia Baré Argentina
Johan Siewiera France
Montserrat Plana Spain
Fawza Monem Syria
Sara Romani Iran
Yoshitomo Mutou Japan
Piotr Grabarczyk Poland
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Citations per year

Countries citing papers authored by Deepshi Thakral

Since Specialization
Citations

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

Fields of papers citing papers by Deepshi Thakral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepshi Thakral, 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 Deepshi Thakral Line = papers co-authored together Deepshi Thakral 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 2006176
2 201151
3 201435
4 200817
5 201617
6 202016
7 202015
8 200615
9 201914
10 200514
11 202013
12 201712
13
Regulatory noncoding RNAs: potential biomarkers and therapeutic targets in acute myeloid leukemia.
202111
14 202211
15 201910
16
Cell-free DNA for genomic profiling and minimal residual disease monitoring in Myeloma- are we there yet?
202010
17 20039
18 20229
19 20238
20 20227

About Deepshi Thakral

Deepshi Thakral is a scholar working on Hematology, Immunology, Epidemiology, Infectious Diseases and Molecular Biology, having authored 37 papers that have together received 508 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Immune Cell Function and Interaction (7 papers), Cancer Genomics and Diagnostics (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Acute Lymphoblastic Leukemia research (3 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Hepatology (254 citations), Infectious Diseases (227 citations), Small Animals (48 citations), Hematology (69 citations) and Immunology (95 citations). Deepshi Thakral has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Subrat Kumar Panda, Shagufta Rehman, Hemlata Durgapal, Ritu Gupta, Dipendra Kumar Mitra, Lesley Devine, Jessica Dobbins, Paula Kavathas, Prashant Joshi and Pramod Kumar Verma. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Clinical & Translational Oncology, Frontiers in Cell and Developmental Biology and Annals of Hematology.

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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