Punit Upadhyaya

700 citations
18 papers · 533 indexed · h-index 11
Topics
Immunotherapy and Immune Responses (7 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
Partner nations
United StatesAustria

In The Last Decade

Punit Upadhyaya

15 papers receiving 524 citations

Peers

Punit Upadhyaya
Comparison fields: 5 of 45
  • Molecular Biology 470
  • Organic Chemistry 131
  • Oncology 116
  • Radiology, Nuclear Medicine and Imaging 115
  • Immunology 47
Replace Johannes T.‐H. Yeh with:
Johannes T.‐H. Yeh United States
Curran A. Rhodes United States
Silvia Pavan Italy
Gemma Mudd United Kingdom
Andrew Tyler United Kingdom
Katerine Van Rietschoten United Kingdom
Charuta C. Palsuledesai United States
Ronald C. Elgersma Netherlands
Marina Godes United States
Yuri Takada Japan
Punit Upadhyaya relative to Johannes T.‐H. Yeh United States Johannes T.‐H. Yeh's profile →
Citations per field
00.5×2.6×
Johannes T.‐H. Yeh · 1×
Citations per year

Countries citing papers authored by Punit Upadhyaya

Since Specialization
Citations

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

Fields of papers citing papers by Punit Upadhyaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Punit Upadhyaya

This figure shows the co-authorship network connecting the top 25 collaborators of Punit Upadhyaya. A scholar is included among the top collaborators of Punit Upadhyaya 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 Punit Upadhyaya. Punit Upadhyaya 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 11
2 1
3 25
4 19
5 0
6 1
7 1
8 2
9 1
10 2
11 11
12 120
13 20
14 95
15 33
16 30
17 107
18 54

About Punit Upadhyaya

Punit Upadhyaya is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 533 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Molecular Biology (470 citations), Microbiology (31 citations) and Radiology, Nuclear Medicine and Imaging (115 citations). Punit Upadhyaya has collaborated with scholars based in United States and Austria. Frequent co-authors include Dehua Pei, Ziqing Qian, Roger Briesewitz, Dehua Pei, Curran A. Rhodes, Wenlong Lian, Liu Y, Zhengrong Wu, Xiànghóng Wú and Miguel A. Villalona‐Calero. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Clinical Oncology.

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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