Utpal Pandya

1.3k citations
18 papers · 1.1k indexed · h-index 13
Topics
Genomics, phytochemicals, and oxidative stress (8 papers)Glutathione Transferases and Polymorphisms (6 papers)Spaceflight effects on biology (3 papers)
Partner nations
United StatesIndiaFrance

In The Last Decade

Utpal Pandya

18 papers receiving 1.1k citations

Peers

Utpal Pandya
Comparison fields: 5 of 98
  • Molecular Biology 803
  • Oncology 133
  • Molecular Medicine 126
  • Physiology 103
  • Biochemistry 101
Replace Benjamin J. Orlando with:
Benjamin J. Orlando United States
Ryan E. Pavlovicz United States
David B. McIntosh South Africa
Eva Kmonı́čková Czechia
Erik Nordling Sweden
Toshifumi Takeuchi Japan
Delf Schmidt Germany
Sadagopan Magesh Japan
Marta Artola Netherlands
Isaac M. Westwood United Kingdom
Utpal Pandya relative to Benjamin J. Orlando United States Benjamin J. Orlando's profile →
Citations per field
00.5×1.5×1.9×
Benjamin J. Orlando · 1×
Citations per year

Countries citing papers authored by Utpal Pandya

Since Specialization
Citations

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

Fields of papers citing papers by Utpal Pandya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Utpal Pandya

This figure shows the co-authorship network connecting the top 25 collaborators of Utpal Pandya. A scholar is included among the top collaborators of Utpal Pandya 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 Utpal Pandya. Utpal Pandya 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 3
2 5
3
A GLOBAL TRANSCRIPTIONAL ANALYSIS OF STREPTOCOCCUS PNEUMONIAE IN RESPONSE TO LOW-SHEAR MODELED MICROGRAVITY
3
4 13
5 6
6 11
7 275
8 62
9 58
10 111
11 66
12 132
13 14
14 22
15 45
16 106
17
Induction of glutathione S-transferase hGST 5.8 is an early response to oxidative stress in RPE cells.
56
18 128

About Utpal Pandya

Utpal Pandya is a scholar working on Biochemistry, Microbiology and Pharmacology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (8 papers), Glutathione Transferases and Polymorphisms (6 papers) and Spaceflight effects on biology (3 papers). The work is most often cited by research in Molecular Medicine (126 citations), Biochemistry (101 citations) and Molecular Biology (803 citations). Utpal Pandya has collaborated with scholars based in United States, India and France. Frequent co-authors include Sanjay Awasthi, Sharad S. Singhal, Manjit K. Saini, Jizhong Cheng, Yusong Yang, Piotr Zimniak, C. Ravikumar, G. N. Ramachandran, A. V. Lakshminarayanan and Shivendra V. Singh. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.

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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