Manisha Thakuria

1.8k citations
32 papers · 669 · h-index 13

Impact in

  • Oncology top 5%
    • Polyomavirus and related diseases
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers
    • Antenna Design and Analysis

Papers in

Manisha Thakuria

31 papers receiving 657 citations

Peers

Manisha Thakuria
Comparison fields: 5 of 54
  • Oncology 548
  • Aerospace Engineering 200
  • Dermatology 40
  • Electrical and Electronic Engineering 243
  • Epidemiology 101
Replace Thibault Kervarrec with:
Thibault Kervarrec France
Meliessa Hennessy United States
Kotaro Nagase Japan
Ata S. Moshiri United States
Cathrin Ritter Germany
Ahmad Kassem Germany
Marcis Bajars Germany
Andrew DoRosario United States
Candice D. Church United States
Michiko Matsushita Japan
Manisha Thakuria relative to Thibault Kervarrec France Thibault Kervarrec's profile →
Citations per field
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Thibault Kervarrec · 1×
Citations per year

Countries citing papers authored by Manisha Thakuria

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Thakuria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manisha Thakuria, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manisha Thakuria Line = papers co-authored together Manisha Thakuria links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 201386
3 200973
4 202068
5 201657
6 202045
7 201832
8 201830
9 202321
10 201921
11 201619
12 202218
13 202415
14 202411
15 201410
16 20189
17 20209
18 20167
19 20157
20 20226

About Manisha Thakuria

Manisha Thakuria is a scholar working on Oncology, Electrical and Electronic Engineering, Aerospace Engineering, Plant Science and Ecology, having authored 32 papers that have together received 669 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (26 papers), Full-Duplex Wireless Communications (10 papers), Antenna Design and Analysis (9 papers), Plant Virus Research Studies (8 papers), Bacteriophages and microbial interactions (4 papers), Nonmelanoma Skin Cancer Studies (3 papers), HER2/EGFR in Cancer Research (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Oncology (548 citations), Aerospace Engineering (200 citations), Dermatology (40 citations), Electrical and Electronic Engineering (243 citations) and Epidemiology (101 citations). Manisha Thakuria has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include James A. DeCaprio, Guilherme Rabinowits, Jingwei Cheng, Yun Xue, Chrysalyne D. Schmults, Linda C. Wang, Ann W. Silk, Nicole R. LeBoeuf, Gabriel J. Starrett and Glenn J. Hanna. Their work appears in journals such as Journal of Clinical Oncology, Journal of Investigative Dermatology, Journal of the American Academy of Dermatology, European Journal of Cancer and Cancer.

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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