Vissagan Gopalakrishnan

458 citations
7 papers · 285 indexed · h-index 6
Topics
Radiomics and Machine Learning in Medical Imaging (2 papers)Lung Cancer Diagnosis and Treatment (2 papers)Vascular Tumors and Angiosarcomas (1 paper)
Partner nations
United StatesSwedenItaly

In The Last Decade

Vissagan Gopalakrishnan

6 papers receiving 283 citations

Peers

Vissagan Gopalakrishnan
Comparison fields: 5 of 56
  • Insect Science 149
  • Parasitology 147
  • Infectious Diseases 74
  • Molecular Biology 53
  • Public Health, Environmental and Occupational Health 34
Replace Maiara S. Severo with:
Maiara S. Severo United States
Kristoffer E. Leon United States
Domenico Santori Italy
Silvia Stefánia Longoni Italy
Kazuhiro Okubo Japan
J.H. van der Kolk Netherlands
Bianca M. Nagata United States
André Luiz Pedrosa Brazil
Maniphet Xayavong United States
Policarpo A. Sales-Junior Brazil
Vissagan Gopalakrishnan relative to Maiara S. Severo United States Maiara S. Severo's profile →
Citations per field
00.5×1.5×1.8×
Maiara S. Severo · 1×
Citations per year

Countries citing papers authored by Vissagan Gopalakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Vissagan Gopalakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vissagan Gopalakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Vissagan Gopalakrishnan. A scholar is included among the top collaborators of Vissagan Gopalakrishnan 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 Vissagan Gopalakrishnan. Vissagan Gopalakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 7
2 0
3 21
4 5
5 195
6 16
7 41

About Vissagan Gopalakrishnan

Vissagan Gopalakrishnan is a scholar working on Otorhinolaryngology, Rehabilitation and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 285 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Vascular Tumors and Angiosarcomas (1 paper). The work is most often cited by research in Parasitology (147 citations), Insect Science (149 citations) and Infectious Diseases (74 citations). Vissagan Gopalakrishnan has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Akhilesh Kumar Yadav, Brandon L. Jutras, Felipe Cava, Kimberly K. Jefferson, Lei Liu, Christine Jacobs‐Wagner, Sukanya Narasimhan, Nabil M. Abraham, Erol Fikrig and Olga Zaborina. Their work appears in journals such as Proceedings of the National Academy of Sciences, Surgery and Future 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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