Arun Upadhyay

3.0k citations
50 papers · 1.9k indexed · 1 hit paper · h-index 23
Topics
Ubiquitin and proteasome pathways (19 papers)Endoplasmic Reticulum Stress and Disease (14 papers)Alzheimer's disease research and treatments (12 papers)
Partner nations
IndiaUnited StatesJapan

In The Last Decade

Arun Upadhyay

47 papers receiving 1.9k citations

Hit Papers

Cancer chemotherapy and beyond: Current status, drug cand...20222026202320242022250500750

Peers

Arun Upadhyay
Comparison fields: 5 of 129
  • Molecular Biology 971
  • Oncology 260
  • Biomedical Engineering 238
  • Cell Biology 210
  • Biomaterials 204
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Ye Xu China
Si Chen China
Anna Lisa Furfaro Italy
Barbara Marengo Italy
Stefania Bulotta Italy
Durga Prasad Mishra India
Liuqing Yang China
Antonio Pezone Italy
Enzo Agostinelli Italy
Lulu Fan China
Arun Upadhyay relative to Ye Xu China Ye Xu's profile →
Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Arun Upadhyay

Since Specialization
Citations

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

Fields of papers citing papers by Arun Upadhyay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Upadhyay

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Upadhyay. A scholar is included among the top collaborators of Arun Upadhyay 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 Arun Upadhyay. Arun Upadhyay 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 0
2 5
3 3
4 13
5
Cancer chemotherapy and beyond: Current status, drug candidates, associated risks and progress in targeted therapeuticsbreakdown →
924
6 4
7 4
8 19
9 22
10 2
11 10
12 15
13 12
14 56
15 49
16 51
17 15
18 18
19 23
20 28

About Arun Upadhyay

Arun Upadhyay is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (19 papers), Endoplasmic Reticulum Stress and Disease (14 papers) and Alzheimer's disease research and treatments (12 papers). The work is most often cited by research in Biomaterials (204 citations), Molecular Biology (971 citations) and Cell Biology (210 citations). Arun Upadhyay has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Amit Mishra, Ayeman Amanullah, Vibhuti Joshi, José Manuel Pérez de la Lastra, Abhijit Dey, Jaspreet Kaur Dhanjal, Ramesh Kandimalla, Saikat Dewanjee, Amarnath Mishra and Uttpal Anand. Their work appears in journals such as Scientific Reports, Progress in Neurobiology and Infection and Immunity.

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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