Deepak Kumar Jha

1.3k citations
18 papers · 885 indexed · 1 hit paper · h-index 13
Topics
Genomics and Chromatin Dynamics (8 papers)Epigenetics and DNA Methylation (7 papers)Cancer-related gene regulation (5 papers)
Partner nations
United StatesIndiaCanada

In The Last Decade

Deepak Kumar Jha

17 papers receiving 879 citations

Hit Papers

Haematopoietic stem and progenitor cells from human pluri...20172026202020232017100200300

Peers

Deepak Kumar Jha
Comparison fields: 5 of 73
  • Molecular Biology 706
  • Cell Biology 173
  • Hematology 124
  • Immunology 111
  • Oncology 95
Replace Karen E. Brown with:
Karen E. Brown United States
Mareike Roth Austria
Tomoko Yamada-Inagawa Netherlands
Weili Wang China
Cristina Fugazza United Kingdom
Kwok Peng Ng United States
Maurizio Fazio United States
Melania Barile United Kingdom
Stéphanie Jouannet France
Elke Kurz United Kingdom
Deepak Kumar Jha relative to Karen E. Brown United States Karen E. Brown's profile →
Citations per field
00.5×
Karen E. Brown · 1×
Citations per year

Countries citing papers authored by Deepak Kumar Jha

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Kumar Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak Kumar Jha. 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 Deepak Kumar Jha. The network helps show where Deepak Kumar Jha may publish in the future.

Co-authorship network of co-authors of Deepak Kumar Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Kumar Jha. A scholar is included among the top collaborators of Deepak Kumar Jha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepak Kumar Jha. Deepak Kumar Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 1
3 24
4 63
5 61
6 1
7
Haematopoietic stem and progenitor cells from human pluripotent stem cellsbreakdown →
337
8 20
9 14
10 1
11 54
12 63
13 39
14 68
15 2
16 94
17 19
18 24

About Deepak Kumar Jha

Deepak Kumar Jha is a scholar working on Molecular Biology, Genetics and Biophysics, having authored 18 papers that have together received 885 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Hematology (124 citations), Cell Biology (173 citations) and Molecular Biology (706 citations). Deepak Kumar Jha has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Brian D. Strahl, George Q. Daley, R. Grant Rowe, Edroaldo Lummertz da Rocha, Patricia Sousa, Mohan Malleshaiah, Sergei Doulatov, Areum Han, Erik Serrao and Alan Engelman. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

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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