Abhijit Shukla

1.8k citations
20 papers · 1.2k indexed · h-index 16
Topics
Epigenetics and DNA Methylation (10 papers)Cancer-related gene regulation (10 papers)Genomics and Chromatin Dynamics (9 papers)
Partner nations
United StatesIsraelSpain

In The Last Decade

Abhijit Shukla

20 papers receiving 1.2k citations

Peers

Abhijit Shukla
Comparison fields: 5 of 77
  • Molecular Biology 1.2k
  • Genetics 99
  • Plant Science 94
  • Cancer Research 61
  • Oncology 55
Replace Elisabeth Simboeck with:
Elisabeth Simboeck Austria
Yaxue Zeng United States
Evangelia Koutelou United States
Dario Nicetto United States
Eduardo Gade Gusmao Germany
Kuangyu Yen China
Tiaojiang Xiao United States
Anna Sawicka Austria
Marco Antonio Mendoza-Parra France
Jorrit Tjeertes United Kingdom
Abhijit Shukla relative to Elisabeth Simboeck Austria Elisabeth Simboeck's profile →
Citations per field
00.5×1.6×
Elisabeth Simboeck · 1×
Citations per year

Countries citing papers authored by Abhijit Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Abhijit Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhijit Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Abhijit Shukla. A scholar is included among the top collaborators of Abhijit Shukla 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 Abhijit Shukla. Abhijit Shukla 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 21
2 145
3 16
4 223
5 6
6 17
7 20
8 28
9 3
10 35
11 13
12 53
13 80
14 5
15 328
16 37
17 54
18 36
19 35
20 79

About Abhijit Shukla

Abhijit Shukla is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Cancer-related gene regulation (10 papers) and Genomics and Chromatin Dynamics (9 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Aging (14 citations) and Cancer Research (61 citations). Abhijit Shukla has collaborated with scholars based in United States, Israel and Spain. Frequent co-authors include Sukesh R. Bhaumik, Jessica Schneider, Laurence Florens, Michael P. Washburn, Ali Shilatifard, Selene K. Swanson, Jung‐Shin Lee, Robert G. Roeder, Xiaoling Wang and B Bernstein. Their work appears in journals such as Cell, 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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