AB Pant

1.4k citations
50 papers · 945 · h-index 20

Impact in

    • Effects and risks of endocrine disrupting chemicals
    • Toxic Organic Pollutants Impact
    • MicroRNA in disease regulation
    • Carcinogens and Genotoxicity Assessment
    • Cancer-related molecular mechanisms research

Papers in

AB Pant

47 papers receiving 919 citations

Peers

AB Pant
Comparison fields: 5 of 121
  • Health, Toxicology and Mutagenesis 173
  • Cancer Research 170
  • Geriatrics and Gerontology 30
  • Developmental Neuroscience 27
  • Pharmacology 47
Replace Cailing Lu with:
Cailing Lu China
Ankit Verma India
Xiaolei Ye China
Pallab Shaw India
Xinyi Mu China
Chin‐Chuan Su Taiwan
Filipe V. Duarte Portugal
Kamaleshwar P. Singh United States
Tianliang Zhang China
Yongmei Qi China
AB Pant relative to Cailing Lu China Cailing Lu's profile →
Citations per field
00.5×2.8×
Cailing Lu · 1×
Citations per year

Countries citing papers authored by AB Pant

Since Specialization
Citations

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

Fields of papers citing papers by AB Pant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011127
2 201098
3 201265
4 201150
5 201746
6 200139
7 201236
8 201035
9 201234
10 201334
11 201232
12 202131
13 201830
14 201227
15 201027
16 201323
17 200822
18 200620
19 201219
20 201219

About AB Pant

AB Pant is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Plant Science and Pharmacology, having authored 50 papers that have together received 945 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Carcinogens and Genotoxicity Assessment (4 papers), 3D Printing in Biomedical Research (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Pesticide Exposure and Toxicity (3 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (173 citations), Cancer Research (170 citations), Geriatrics and Gerontology (30 citations), Developmental Neuroscience (27 citations) and Pharmacology (47 citations). AB Pant has collaborated with scholars based in India, Nigeria and Saudi Arabia. Frequent co-authors include Sanjay Yadav, Sunny O. Abarikwu, Ebenezer O. Farombi, N. Mathur, Niraj Pant, Manju Shukla, Devendra Parmar, Ashutosh Kumar, Ankita Pandey and Mahendra Kashyap. Their work appears in journals such as Human & Experimental Toxicology, Molecular Neurobiology, Molecular and Cellular Biochemistry, Parkinsonism & Related Disorders and Toxicology and Industrial Health.

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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