Debasis Patnaik

3.1k citations
37 papers · 2.2k indexed · h-index 24
Topics
Epigenetics and DNA Methylation (9 papers)Histone Deacetylase Inhibitors Research (7 papers)Protein Degradation and Inhibitors (6 papers)

In The Last Decade

Debasis Patnaik

37 papers receiving 2.1k citations

Peers

Debasis Patnaik
Comparison fields: 5 of 106
  • Molecular Biology 1.8k
  • Plant Science 566
  • Cell Biology 336
  • Oncology 166
  • Physiology 139
Replace André S. Bachmann with:
André S. Bachmann United States
Tamara Maes United States
Xiaobei Zhao United States
Werner J. Kovacs Switzerland
Stephen T. Safrany United Kingdom
Junro Kuromitsu Japan
Daniel A. Bochar United States
Xin Gu United States
Charles F. Albright United States
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Debasis Patnaik relative to André S. Bachmann United States André S. Bachmann's profile →
Citations per field
00.5×2.9×
André S. Bachmann · 1×
Citations per year

Countries citing papers authored by Debasis Patnaik

Since Specialization
Citations

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

Fields of papers citing papers by Debasis Patnaik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debasis Patnaik

This figure shows the co-authorship network connecting the top 25 collaborators of Debasis Patnaik. A scholar is included among the top collaborators of Debasis Patnaik 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 Debasis Patnaik. Debasis Patnaik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 32
2 19
3 16
4 8
5 157
6 5
7 9
8 2
9 203
10 62
11 46
12 133
13 30
14 93
15 163
16
Agrobacterium-mediated transformation of mature embryos of Triticum aestivum and Triticum durum
41
17 288
18 122
19 32
20 69

About Debasis Patnaik

Debasis Patnaik is a scholar working on Molecular Biology, Cell Biology and Hematology, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Histone Deacetylase Inhibitors Research (7 papers) and Protein Degradation and Inhibitors (6 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cell Biology (336 citations) and Plant Science (566 citations). Debasis Patnaik has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Paramjit Khurana, Sriharsa Pradhan, Jonathan M.G. Higgins, Pierre‐Olivier Estève, Steven E. Jacobsen, Fangwei Wang, Hang Gyeong Chin, Stephen J. Haggarty, Jack S. Benner and Ross L. Stein. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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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