Neha Singh

20 papers receiving 405 citations

Neha Singh's Hit Papers

AMP-activated protein kinase: An energy sensor and survival mechanism in the reinstatement of metabolic homeostasis 2023 · 95 citations
950+1+2Years since publication255075

Peers

Neha Singh
Comparison fields: 5 of 89
  • Oncology 171
  • Aerospace Engineering 103
  • Aging 6
  • Geriatrics and Gerontology 9
  • Electrical and Electronic Engineering 122
Replace Di Li with:
Di Li China
Burkhard Flick Germany
Kaifang Wang China
Kuan-I Lee Taiwan
Zhiyuan Deng China
Xingbo Li China
Yingrui Liu China
Yingying Lu China
Neha Singh relative to Di Li China Di Li's profile →
Citations per field
00.5×10×20×34.3×
Di Li · 1×
Citations per year

Countries citing papers authored by Neha Singh

Since Specialization
Citations

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

Fields of papers citing papers by Neha Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neha Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neha Singh Line = papers co-authored together Neha Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AMP-activated protein kinase: An energy sensor and survival mechanism in the reinstatement of metabolic homeostasis
Hit paper breakdown →
202395
2 201965
3 202255
4 201952
5 202031
6 202024
7
Mycorrhizae and Phytochelators as Remedy in Heavy Metal Contaminated Land Remediation
201322
8 202315
9 202113
10 20219
11 20238
12 20218
13 20195
14 20224
15 20093
16 20212
17 20191
18 20231
19 20241
20 20221

About Neha Singh

Neha Singh is a scholar working on Oncology, Electrical and Electronic Engineering, Molecular Biology, Aerospace Engineering and Plant Science, having authored 21 papers that have together received 415 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (6 papers), Full-Duplex Wireless Communications (6 papers), Antenna Design and Analysis (4 papers), Autophagy in Disease and Therapy (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Poxvirus research and outbreaks (2 papers), Plant Virus Research Studies (2 papers) and Advanced Drug Delivery Systems (2 papers). The work is most often cited by research in Oncology (171 citations), Aerospace Engineering (103 citations), Aging (6 citations), Geriatrics and Gerontology (9 citations) and Electrical and Electronic Engineering (122 citations). Neha Singh has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Poonam Kakkar, Ankita Sharma, Upendra N. Dwivedi, Paul Nghiem, Kelly G. Paulson, Kristina Lachance, Christopher W. Lewis, Daniel S. Hippe, Hannah Thomas and Jyoti Prakash. Their work appears in journals such as Journal of the American Academy of Dermatology, Journal of Thoracic Oncology, International Journal of Biological Macromolecules, Food and Chemical Toxicology and DNA repair.

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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