Arun Vaidyanath

561 citations
22 papers · 466 indexed · h-index 10
Topics
Cancer Cells and Metastasis (8 papers)Pluripotent Stem Cells Research (7 papers)CRISPR and Genetic Engineering (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
JapanUnited StatesChina

In The Last Decade

Arun Vaidyanath

21 papers receiving 456 citations

Peers

Arun Vaidyanath
Comparison fields: 5 of 57
  • Molecular Biology 335
  • Oncology 281
  • Biomedical Engineering 95
  • Cancer Research 80
  • Biomaterials 38
Replace Aung Ko Ko Oo with:
Aung Ko Ko Oo Japan
Sirisha Peddibhotla United States
Elisa D’Arcangelo Canada
James Patrick Heiserman United States
Oded Kopper Israel
Valentina Poltavets Australia
Alyssa D. Schwartz United States
Guanzhong Qiu China
Garima Kaushik United States
Emi Tokuda Japan
Arun Vaidyanath relative to Aung Ko Ko Oo Japan Aung Ko Ko Oo's profile →
Citations per field
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Aung Ko Ko Oo · 1×
Citations per year

Countries citing papers authored by Arun Vaidyanath

Since Specialization
Citations

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

Fields of papers citing papers by Arun Vaidyanath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Vaidyanath

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Vaidyanath. A scholar is included among the top collaborators of Arun Vaidyanath 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 Arun Vaidyanath. Arun Vaidyanath 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 1
3 2
4 1
5 31
6 28
7 2
8 140
9 14
10 8
11 3
12 6
13 5
14
A new PDAC mouse model originated from iPSCs-converted pancreatic cancer stem cells (CSCcm).
42
15 23
16 5
17 8
18
Mouse induced pluripotent stem cell microenvironment generates epithelial-mesenchymal transition in mouse Lewis lung cancer cells.
9
19 101
20 17

About Arun Vaidyanath

Arun Vaidyanath is a scholar working on Hepatology, Oncology and Biophysics, having authored 22 papers that have together received 466 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Pluripotent Stem Cells Research (7 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Oncology (281 citations), Cancer Research (80 citations) and Molecular Biology (335 citations). Arun Vaidyanath has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tomonari Kasai, Masaharu Seno, Akimasa Seno, Aung Ko Ko Oo, Akifumi Mizutani, Junko Masuda, Yoshiaki Iwasaki, Neha Nair, Anna Sanchez Calle and Marta Prieto‐Vila. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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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