Sai Vikram Vemula

1.4k citations
29 papers · 960 indexed · 1 hit paper · h-index 15
Topics
Virus-based gene therapy research (10 papers)Influenza Virus Research Studies (8 papers)Viral gastroenteritis research and epidemiology (7 papers)
Partner nations
United StatesEgyptCanada

In The Last Decade

Sai Vikram Vemula

28 papers receiving 941 citations

Hit Papers

Current Approaches for Diagnosis of Influenza Virus Infec...2016202620192022201650100150200

Peers

Sai Vikram Vemula
Comparison fields: 5 of 92
  • Epidemiology 391
  • Molecular Biology 367
  • Infectious Diseases 277
  • Genetics 151
  • Immunology 120
Replace Deshan Yu with:
Deshan Yu China
Po-Cheng Tang Sweden
Elena V. Vassilieva United States
Peter E. Highfield United Kingdom
Marian Wiegand Germany
Frank Michel United States
Alison M. Kell United States
M. S. Sidhu India
Olivier Touzelet United Kingdom
Ricardo Kratje Argentina
Sai Vikram Vemula relative to Deshan Yu China Deshan Yu's profile →
Citations per field
00.5×2.6×
Deshan Yu · 1×
Citations per year

Countries citing papers authored by Sai Vikram Vemula

Since Specialization
Citations

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

Fields of papers citing papers by Sai Vikram Vemula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sai Vikram Vemula. 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 Sai Vikram Vemula. The network helps show where Sai Vikram Vemula may publish in the future.

Co-authorship network of co-authors of Sai Vikram Vemula

This figure shows the co-authorship network connecting the top 25 collaborators of Sai Vikram Vemula. A scholar is included among the top collaborators of Sai Vikram Vemula 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 Sai Vikram Vemula. Sai Vikram Vemula 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 2
2 0
3 2
4 10
5 40
6 16
7 17
8 9
9 22
10 6
11 13
12 44
13 8
14 21
15 20
16 18
17 61
18 4
19 11
20 65

About Sai Vikram Vemula

Sai Vikram Vemula is a scholar working on Virology, Infectious Diseases and Genetics, having authored 29 papers that have together received 960 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Influenza Virus Research Studies (8 papers) and Viral gastroenteritis research and epidemiology (7 papers). The work is most often cited by research in Infectious Diseases (277 citations), Epidemiology (391 citations) and Virology (40 citations). Sai Vikram Vemula has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include Suresh K. Mittal, Manish Tandon, Indira Hewlett, Jiangqin Zhao, Jikun Liu, Xue Wang, Santanu Biswas, Suryaprakash Sambhara, Jacqueline M. Katz and Yadvinder S. Ahi. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

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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