Anitha D. Jayaprakash

1.8k citations
29 papers · 1.2k indexed · h-index 14
Topics
Advanced biosensing and bioanalysis techniques (4 papers)Nonlinear Optical Materials Research (4 papers)RNA Interference and Gene Delivery (3 papers)

In The Last Decade

Anitha D. Jayaprakash

28 papers receiving 1.1k citations

Peers

Anitha D. Jayaprakash
Comparison fields: 5 of 103
  • Molecular Biology 823
  • Cancer Research 488
  • Organic Chemistry 133
  • Electronic, Optical and Magnetic Materials 114
  • Genetics 74
Replace Г. Г. Карпова with:
Г. Г. Карпова Russia
Brian H. Johnston United States
G.M.T. Cheetham United States
Katrin Paeschke Germany
Tobias Gustavsson Denmark
Yuanhui Mao China
Oleg N. Voloshin United States
Manju Hingorani United States
Jane A. Grasby United Kingdom
Harleen Kaur India
Anitha D. Jayaprakash relative to Г. Г. Карпова Russia Г. Г. Карпова's profile →
Citations per field
00.5×
Г. Г. Карпова · 1×
Citations per year

Countries citing papers authored by Anitha D. Jayaprakash

Since Specialization
Citations

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

Fields of papers citing papers by Anitha D. Jayaprakash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anitha D. Jayaprakash. 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 Anitha D. Jayaprakash. The network helps show where Anitha D. Jayaprakash may publish in the future.

Co-authorship network of co-authors of Anitha D. Jayaprakash

This figure shows the co-authorship network connecting the top 25 collaborators of Anitha D. Jayaprakash. A scholar is included among the top collaborators of Anitha D. Jayaprakash 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 Anitha D. Jayaprakash. Anitha D. Jayaprakash 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 0
2 8
3 19
4 1
5 11
6 13
7 13
8 29
9 51
10 18
11 33
12 63
13 2
14 9
15 315
16 189
17 48
18 20
19 1
20 90

About Anitha D. Jayaprakash

Anitha D. Jayaprakash is a scholar working on Virology, Infectious Diseases and Cancer Research, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Nonlinear Optical Materials Research (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cancer Research (488 citations), Molecular Biology (823 citations) and Electronic, Optical and Magnetic Materials (114 citations). Anitha D. Jayaprakash has collaborated with scholars based in United States, India and Ethiopia. Frequent co-authors include Ravi Sachidanandam, Brian D. Brown, Alessia Baccarini, Omar Jabado, Matthew J. Evans, Gavriel Mullokandov, Benjamin Israelow, Albert Ruzo, Navpreet Tung and Thomas J. Gardner. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and Molecular Cell.

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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