Abhishek Bhattacherjee

847 citations
45 papers · 559 indexed · h-index 15
Topics
Advanced Glycation End Products research (7 papers)Digital Imaging for Blood Diseases (6 papers)Phytochemicals and Antioxidant Activities (6 papers)
Partner nations
IndiaCanadaUnited States

In The Last Decade

Abhishek Bhattacherjee

36 papers receiving 551 citations

Peers

Abhishek Bhattacherjee
Comparison fields: 5 of 109
  • Molecular Biology 169
  • Clinical Biochemistry 107
  • Physiology 98
  • Immunology 85
  • Endocrinology, Diabetes and Metabolism 82
Replace Yajing Chen with:
Yajing Chen China
Haifeng Tang China
Liang Feng China
Julius Liobikas Lithuania
Radhika Kapoor India
Shucun Qin China
Hee Ju Lee South Korea
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Xiaoxia Sun China
Abhishek Bhattacherjee relative to Yajing Chen China Yajing Chen's profile →
Citations per field
00.5×4.2×
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Citations per year

Countries citing papers authored by Abhishek Bhattacherjee

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Bhattacherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhishek Bhattacherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Bhattacherjee. A scholar is included among the top collaborators of Abhishek Bhattacherjee 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 Abhishek Bhattacherjee. Abhishek Bhattacherjee 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 2
2 1
3 2
4 0
5 4
6 2
7 5
8 0
9 6
10 0
11 2
12 2
13 6
14 46
15 54
16 27
17 6
18 10
19 51
20 27

About Abhishek Bhattacherjee

Abhishek Bhattacherjee is a scholar working on Clinical Biochemistry, Biochemistry and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 559 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (7 papers), Digital Imaging for Blood Diseases (6 papers) and Phytochemicals and Antioxidant Activities (6 papers). The work is most often cited by research in Clinical Biochemistry (107 citations), Biochemistry (69 citations) and Neurology (77 citations). Abhishek Bhattacherjee has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Abhay Sankar Chakraborti, Abhijit Datta, Mirko Betti, Yuliya Hrynets, Chris D. St. Laurent, Matthew S. Macauley, Jaesoo Jung, Tanushree Ghosh, Ghazaleh Eskandari‐Sedighi and Raman Kumar. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Controlled Release.

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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