Mohammad Athar

74 papers receiving 2.2k citations

Peers

Mohammad Athar
Comparison fields: 5 of 126
  • Environmental Chemistry 398
  • Biochemistry 201
  • Health, Toxicology and Mutagenesis 343
  • Applied Microbiology and Biotechnology 38
  • Cancer Research 247
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Shu‐Hui Juan Taiwan
Samuel Santos Valença Brazil
Rong Li China
Caiyun Zhong China
Ken‐ichi Miyamoto Japan
Peter J. O’Brien Canada
Kimie Sai Japan
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Chunxu Hai China
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Athar

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Athar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001452
2 1989200
3 2013170
4 1999143
5 2005127
6 2001110
7 201397
8 201497
9 199085
10 200050
11 198844
12
Chemopreventive effects of green tea polyphenols correlate with reversible induction of p57 expression.
200243
13 201440
14 201238
15 200034
16 201529
17 201225
18 199823
19 201422
20 202321

About Mohammad Athar

Mohammad Athar is a scholar working on Molecular Biology, Surgery, Cancer Research, Pathology and Forensic Medicine and Neurology, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (15 papers), Genetic factors in colorectal cancer (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Carcinogens and Genotoxicity Assessment (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Glutathione Transferases and Polymorphisms (4 papers), Arsenic contamination and mitigation (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Environmental Chemistry (398 citations), Biochemistry (201 citations), Health, Toxicology and Mutagenesis (343 citations), Applied Microbiology and Biotechnology (38 citations) and Cancer Research (247 citations). Mohammad Athar has collaborated with scholars based in Saudi Arabia, United States and India. Frequent co-authors include Tom K. Hei, David R. Bickers, Charles A. Waldren, Jacqueline Urtecho, Fred Rincón, Jack Jallo, Joon Y. Kang, Zhi Y. Wang, Zainularifeen Abduljaleel and Hasan Mukhtar. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cancer Letters, Non-coding RNA Research, Journal of Investigative Dermatology and Critical Care Medicine.

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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