Prerna Tewari

576 total citations
24 papers, 280 citations indexed

About

Prerna Tewari is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, Prerna Tewari has authored 24 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Prerna Tewari's work include Cervical Cancer and HPV Research (5 papers), Head and Neck Cancer Studies (4 papers) and Salivary Gland Tumors Diagnosis and Treatment (4 papers). Prerna Tewari is often cited by papers focused on Cervical Cancer and HPV Research (5 papers), Head and Neck Cancer Studies (4 papers) and Salivary Gland Tumors Diagnosis and Treatment (4 papers). Prerna Tewari collaborates with scholars based in Ireland, United Kingdom and India. Prerna Tewari's co-authors include Mark Lawler, Paul Browne, Cara Martin, John O’Leary, Patrick Hayden, Derek W. Morris, Lenka Foretová, Anthony Staines, Nikolaus Becker and Alexandra Nieters and has published in prestigious journals such as Human Molecular Genetics, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Prerna Tewari

22 papers receiving 275 citations

Peers

Prerna Tewari
Comparison fields: 5 of 61
  • Molecular Biology 132
  • Hematology 74
  • Cancer Research 71
  • Oncology 57
  • Public Health, Environmental and Occupational Health 53
Wei Qiu China
Katarzyna Kapelko‐Słowik Poland
Jong‐Mi Lee South Korea
Stephanie A. Schnell United States
Surender K. Sharawat India
Priya Chacko India
Albert Kheradpour United States
Stephen K. H. Li Canada
Sai Huang China
Celestia Davis United States
Wei Qiu China View profile →
Citations per field, relative to Prerna Tewari
Prerna Tewari · 1×
Citations per year, relative to Prerna Tewari
Prerna Tewari · 1×

Countries citing papers authored by Prerna Tewari

Since Specialization
Citations

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

Fields of papers citing papers by Prerna Tewari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prerna Tewari

This figure shows the co-authorship network connecting the top 25 collaborators of Prerna Tewari. A scholar is included among the top collaborators of Prerna Tewari 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 Prerna Tewari. Prerna Tewari 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
# Work Indexed citations
1 2
2 7
3 7
4 5
5 9
6 0
7 6
8 6
9 1
10 1
11 6
12 5
13 1
14 11
15
Mutational analysis of the insulin‑like growth factor 1 receptor tyrosine kinase domain in non-small cell lung cancer patients
1
16 23
17 27
18 45
19 42
20 51

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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