Prabhakar R. Gudla

1.4k citations
31 papers · 947 indexed · h-index 16
Topics
Cell Image Analysis Techniques (11 papers)Genomics and Chromatin Dynamics (8 papers)Gene expression and cancer classification (7 papers)
Partner nations
United StatesJapanIran

In The Last Decade

Prabhakar R. Gudla

31 papers receiving 940 citations

Peers

Prabhakar R. Gudla
Comparison fields: 5 of 88
  • Molecular Biology 599
  • Biophysics 168
  • Immunology 153
  • Genetics 99
  • Agronomy and Crop Science 92
Replace Nicholas C. Jones with:
Nicholas C. Jones United States
Adam Fraser United States
Vincent Fraisier France
Hongshan Guo China
Gabriele Schweikert United Kingdom
Julio Mateos‐Langerak France
Gang Ren China
Jan Schröder Australia
Kelly Hanson Australia
Cydney Nielsen Canada
Prabhakar R. Gudla relative to Nicholas C. Jones United States Nicholas C. Jones's profile →
Citations per field
00.5×8.7×
Nicholas C. Jones · 1×
Citations per year

Countries citing papers authored by Prabhakar R. Gudla

Since Specialization
Citations

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

Fields of papers citing papers by Prabhakar R. Gudla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabhakar R. Gudla. 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 Prabhakar R. Gudla. The network helps show where Prabhakar R. Gudla may publish in the future.

Co-authorship network of co-authors of Prabhakar R. Gudla

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhakar R. Gudla. A scholar is included among the top collaborators of Prabhakar R. Gudla 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 Prabhakar R. Gudla. Prabhakar R. Gudla 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
1 103
2 21
3 9
4 36
5 89
6 2
7 15
8 10
9 41
10 34
11 29
12 5
13 6
14 23
15 2
16 9
17 5
18 55
19 116
20 4

About Prabhakar R. Gudla

Prabhakar R. Gudla is a scholar working on Biophysics, Structural Biology and Molecular Biology, having authored 31 papers that have together received 947 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (11 papers), Genomics and Chromatin Dynamics (8 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Biophysics (168 citations), Agronomy and Crop Science (92 citations) and Molecular Biology (599 citations). Prabhakar R. Gudla has collaborated with scholars based in United States, Japan and Iran. Frequent co-authors include Tom Misteli, Stephen Lockett, Karen J. Meaburn, Gianluca Pegoraro, Liying Guo, Takumi Takizawa, Tom Misteli, Sameena Khan, George Zaki and Murali Palangat. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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