Ahsas Goyal

101 papers receiving 1.3k citations

Peers

Ahsas Goyal
Comparison fields: 5 of 116
  • Cancer Research 285
  • Biological Psychiatry 26
  • Aging 17
  • Complementary and alternative medicine 74
  • Biochemistry 51
Replace Cecilia Hsuan Day with:
Cecilia Hsuan Day Taiwan
Jie Ren China
Wenqun Li China
John Skoko United States
Jianchang Qian China
Longhuo Wu China
Hui Cai China
Vijaya Padma Viswanadha India
Jing Ren China
Ahsas Goyal relative to Cecilia Hsuan Day Taiwan Cecilia Hsuan Day's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ahsas Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Ahsas Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ahsas Goyal, 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 Ahsas Goyal Line = papers co-authored together Ahsas Goyal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202395
2 202287
3 202368
4 202260
5 202354
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7 202351
8 202247
9 202342
10 202342
11 202441
12 202139
13 202434
14 202331
15 202330
16 202123
17 202422
18 202222
19 202320
20 201520

About Ahsas Goyal

Ahsas Goyal is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Physiology, Cancer Research and Pharmacology, having authored 111 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (10 papers), Natural product bioactivities and synthesis (7 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Cancer-related molecular mechanisms research (6 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Estrogen and related hormone effects (6 papers), Alzheimer's disease research and treatments (6 papers) and Medicinal Plants and Neuroprotection (6 papers). The work is most often cited by research in Cancer Research (285 citations), Biological Psychiatry (26 citations), Aging (17 citations), Complementary and alternative medicine (74 citations) and Biochemistry (51 citations). Ahsas Goyal has collaborated with scholars based in India, Saudi Arabia and Australia. Frequent co-authors include Aanchal Verma, Neetu Agrawal, Sachin Kumar Singh, Riya Thapa, Sami I. Alzarea, Imran Kazmi, Waleed Hassan Almalki, Gaurav Gupta, Asif Ahmad Bhat and Kamal Dua. Their work appears in journals such as Current Pharmaceutical Biotechnology, Journal of Biochemical and Molecular Toxicology, Combinatorial Chemistry & High Throughput Screening, Revista Brasileira de Farmacognosia and CNS & Neurological Disorders - Drug Targets.

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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