Bayar Thimmapaya

2.7k citations
55 papers · 2.2k indexed · h-index 29
Topics
Virus-based gene therapy research (19 papers)Genomics and Chromatin Dynamics (10 papers)Cancer-related Molecular Pathways (6 papers)
Partner nations
United StatesFranceIndia

In The Last Decade

Bayar Thimmapaya

55 papers receiving 2.2k citations

Peers

Bayar Thimmapaya
Comparison fields: 5 of 102
  • Molecular Biology 1.5k
  • Oncology 571
  • Genetics 524
  • Immunology 408
  • Cancer Research 307
Replace Shawn T. Estrem with:
Shawn T. Estrem United States
Akiko Furuya Japan
Anne E. Milner United Kingdom
Barbara Majello Italy
Helmut Burtscher Germany
Paula Fernández Switzerland
Kleanthis G. Xanthopoulos United States
Giovina Ruberti Italy
N G Copeland United States
Béatrice Romagnolo France
Bayar Thimmapaya relative to Shawn T. Estrem United States Shawn T. Estrem's profile →
Citations per field
00.5×1.5×
Shawn T. Estrem · 1×
Citations per year

Countries citing papers authored by Bayar Thimmapaya

Since Specialization
Citations

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

Fields of papers citing papers by Bayar Thimmapaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bayar Thimmapaya

This figure shows the co-authorship network connecting the top 25 collaborators of Bayar Thimmapaya. A scholar is included among the top collaborators of Bayar Thimmapaya 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 Bayar Thimmapaya. Bayar Thimmapaya 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 3
2 24
3 85
4 22
5 10
6 66
7 73
8 77
9 31
10 68
11 1
12 15
13 191
14 14
15 121
16 107
17 20
18 28
19 19
20 12

About Bayar Thimmapaya

Bayar Thimmapaya is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (19 papers), Genomics and Chromatin Dynamics (10 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Oncology (571 citations) and Cancer Research (307 citations). Bayar Thimmapaya has collaborated with scholars based in United States, France and India. Frequent co-authors include S. Swaminathan, Richard M. Pope, Sigmund A. Weitzman, Harris Perlman, Kumaravel Somasundaram, Alexander Hoffmann, Hongtao Liu, Ghanashyam D. Ghadge, Constantinos Georganas and Leonard Anderson. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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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