Priyanka Kulkarni

722 citations
35 papers · 557 indexed · h-index 12
Topics
Cancer-related molecular mechanisms research (15 papers)Circular RNAs in diseases (10 papers)MicroRNA in disease regulation (9 papers)
Partner nations
United StatesIndiaJapan

In The Last Decade

Priyanka Kulkarni

31 papers receiving 554 citations

Peers

Priyanka Kulkarni
Comparison fields: 5 of 78
  • Molecular Biology 391
  • Cancer Research 330
  • Pulmonary and Respiratory Medicine 105
  • Oncology 70
  • Epidemiology 32
Replace Catalina Perdomo with:
Catalina Perdomo United States
Vilma Maldonado Mexico
Xiaodong Ling China
Marcie J. Grimes United States
Caiwang Yan China
Yuxin Wen China
Ian M. Wilson Canada
Shaoru Li China
Priyanka Kulkarni relative to Catalina Perdomo United States Catalina Perdomo's profile →
Citations per field
00.5×3.9×
Catalina Perdomo · 1×
Citations per year

Countries citing papers authored by Priyanka Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Priyanka Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priyanka Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Kulkarni. A scholar is included among the top collaborators of Priyanka Kulkarni 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 Priyanka Kulkarni. Priyanka Kulkarni 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 11
2 1
3 42
4 8
5 3
6 6
7 21
8 26
9 44
10 47
11 1
12 22
13 0
14 1
15 2
16 82
17 44
18
Extremophiles from Tirez and Peña Hueca: Implications for exploring habitability of Mars and Europa
1
19 0
20 3

About Priyanka Kulkarni

Priyanka Kulkarni is a scholar working on Cancer Research, Geriatrics and Gerontology and Molecular Biology, having authored 35 papers that have together received 557 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Cancer Research (330 citations), Molecular Biology (391 citations) and Pulmonary and Respiratory Medicine (105 citations). Priyanka Kulkarni has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Yuichiro Tanaka, Marisa Shiina, Rajvir Dahiya, Yutaka Hashimoto, Soichiro Yamamura, Shahana Majid, Varahram Shahryari, Pritha Dasgupta, Sharanjot Saini and Guoren Deng. Their work appears in journals such as PLoS ONE, Cancer Research and The FASEB Journal.

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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