Ankita Patel

424 citations
21 papers · 277 indexed · h-index 8
Topics
Virus-based gene therapy research (2 papers)Analytical Chemistry and Chromatography (2 papers)Spinal Hematomas and Complications (2 papers)
Journals
SHILAP Revista de lepidopterologíaBloodScientific Reports
Partner nations
United StatesIndiaQatar

In The Last Decade

Ankita Patel

21 papers receiving 276 citations

Peers

Ankita Patel
Comparison fields: 5 of 64
  • Oncology 132
  • Genetics 112
  • Molecular Biology 106
  • Immunology 50
  • Epidemiology 43
Replace Rajesh Soni with:
Rajesh Soni India
Zhen-Wei Lang China
Emma Aragona United States
Abdel‐Baset Halim United States
Timothy M. Horton United States
Victoria L. Green United Kingdom
Maysam Mard‐Soltani Iran
Wenqian Zhang China
Yousuke Inoue Japan
Esha Sachdev United States
Ankita Patel relative to Rajesh Soni India Rajesh Soni's profile →
Citations per field
00.5×5.4×
Rajesh Soni · 1×
Citations per year

Countries citing papers authored by Ankita Patel

Since Specialization
Citations

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

Fields of papers citing papers by Ankita Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankita Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Ankita Patel. A scholar is included among the top collaborators of Ankita Patel 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 Ankita Patel. Ankita Patel 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 1
2 12
3 1
4 8
5 1
6 4
7 2
8 1
9 2
10 7
11 10
12 9
13 1
14 1
15 6
16 27
17 34
18
Energy conservation for wireless mobile ad hoc networks using hexagonal GAF protocol
5
19 133
20 1

About Ankita Patel

Ankita Patel is a scholar working on Internal Medicine, Nephrology and Hematology, having authored 21 papers that have together received 277 indexed citations. Recurring topics across this work include Virus-based gene therapy research (2 papers), Analytical Chemistry and Chromatography (2 papers) and Spinal Hematomas and Complications (2 papers). The work is most often cited by research in Oncology (132 citations), Genetics (112 citations) and Internal Medicine (15 citations). Ankita Patel has collaborated with scholars based in United States, India and Qatar. Frequent co-authors include Masataka Suzuki, E. Antonio Chiocca, Yoshinaga Saeki, Kazuhiko Kurozumi, Akihiro Otsuki, Kazue Kasai, Nathan Visweshwar, Damian A. Laber, Michael Jaglal and Jose Sandoval‐Sus. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

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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