Neha Nair

408 citations
13 papers · 330 indexed · h-index 8
Topics
Cancer Cells and Metastasis (9 papers)Pluripotent Stem Cells Research (6 papers)Cancer Research and Treatments (2 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsCancers
Partner nations
JapanUnited StatesEgypt

In The Last Decade

Neha Nair

13 papers receiving 325 citations

Peers

Neha Nair
Comparison fields: 5 of 49
  • Oncology 233
  • Molecular Biology 220
  • Biomedical Engineering 68
  • Cancer Research 65
  • Immunology 34
Replace O. E. Savelieva with:
O. E. Savelieva Russia
Constantin Menche Germany
Jahangir Sufi United Kingdom
Federica Lorenzi United Kingdom
Vivien Veninga Germany
Trevor G. Levin United States
Victoria M.-Y. Wang United Kingdom
Sanne M. van Neerven Netherlands
Erica Dalla United States
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Citations per field
00.5×1.5×2.4×
O. E. Savelieva · 1×
Citations per year

Countries citing papers authored by Neha Nair

Since Specialization
Citations

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

Fields of papers citing papers by Neha Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Nair. A scholar is included among the top collaborators of Neha Nair 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 Neha Nair. Neha Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2
Microenvironment of mammary fat pads affected the characteristics of the tumors derived from the induced cancer stem cells.
4
3 18
4 2
5 3
6 10
7 18
8 31
9 140
10 3
11
A new PDAC mouse model originated from iPSCs-converted pancreatic cancer stem cells (CSCcm).
42
12
iPSC-derived cancer stem cells provide a model of tumor vasculature.
38
13
Bacteria: prospective savior in battle against cancer.
20

About Neha Nair

Neha Nair is a scholar working on Oncology, Biotechnology and Molecular Biology, having authored 13 papers that have together received 330 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Pluripotent Stem Cells Research (6 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Oncology (233 citations), Cancer Research (65 citations) and Biotechnology (32 citations). Neha Nair has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Masaharu Seno, Tomonari Kasai, Anna Sanchez Calle, Akimasa Seno, Yoshiaki Iwasaki, Marta Prieto‐Vila, Aung Ko Ko Oo, Arun Vaidyanath, Junko Masuda and Maram H. Zahra. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cancers.

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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