Amita Vaidya

2.8k citations
25 papers · 2.2k indexed · 2 hit papers · h-index 18
Topics
RNA Interference and Gene Delivery (8 papers)Advanced biosensing and bioanalysis techniques (6 papers)Cell Adhesion Molecules Research (4 papers)
Journals
NatureScienceSHILAP Revista de lepidopterología
Partner nations
United StatesChinaIsrael

In The Last Decade

Amita Vaidya

25 papers receiving 2.2k citations

Hit Papers

SIRT6 Promotes DNA Repair Under Stress by Activating PARP1201120262016202120112013200400600

Peers

Amita Vaidya
Comparison fields: 5 of 126
  • Molecular Biology 1.3k
  • Oncology 384
  • Geriatrics and Gerontology 379
  • Cell Biology 301
  • Cancer Research 296
Replace Joseph Loureiro with:
Joseph Loureiro United States
Xianming Mo China
Lei Huang China
Waixing Tang United States
Shun‐ichiro Iemura Japan
Anwarul Ferdous United States
Stefania Nicoli United States
Roberto Buccione Italy
Anna Polesskaya France
Guihai Feng China
Amita Vaidya relative to Joseph Loureiro United States Joseph Loureiro's profile →
Citations per field
00.5×
Joseph Loureiro · 1×
Citations per year

Countries citing papers authored by Amita Vaidya

Since Specialization
Citations

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

Fields of papers citing papers by Amita Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amita Vaidya

This figure shows the co-authorship network connecting the top 25 collaborators of Amita Vaidya. A scholar is included among the top collaborators of Amita Vaidya 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 Amita Vaidya. Amita Vaidya 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 6
2 12
3 10
4 5
5 16
6 25
7 8
8 17
9 20
10 142
11 26
12 40
13 21
14 43
15 44
16 44
17
Novel husbandry techniques support survival of naked mole rat (Heterocephalus glaber) pups.
12
18 82
19
High-molecular-mass hyaluronan mediates the cancer resistance of the naked mole ratbreakdown →
558
20 245

About Amita Vaidya

Amita Vaidya is a scholar working on Immunology and Allergy, Cancer Research and Geriatrics and Gerontology, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Geriatrics and Gerontology (379 citations), Aging (140 citations) and Physiology (131 citations). Amita Vaidya has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Andrei Seluanov, Vera Gorbunova, Zhiyong Mao, Xiao Tian, Christopher Hine, Michael Van Meter, Zheng‐Rong Lu, Jorge Azpurua, Max Myakishev-Rempel and Julia Ablaeva. Their work appears in journals such as Nature, Science and SHILAP Revista de lepidopterología.

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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