Ashfaqul Hoque

1.4k citations
22 papers · 1.0k · h-index 17

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 8
    • Protein Kinase Regulation and GTPase Signaling 4
    • PI3K/AKT/mTOR signaling in cancer 3
    • Mitochondrial Function and Pathology 3
    • Pancreatic function and diabetes 6

Ashfaqul Hoque

22 papers receiving 994 citations

Peers

Ashfaqul Hoque
Comparison fields: 5 of 101
  • Molecular Medicine 74
  • Endocrinology 71
  • Physiology 59
  • Nutrition and Dietetics 153
  • Applied Microbiology and Biotechnology 19
Replace Rui Zheng with:
Rui Zheng China
Ikue Hayashi Japan
Yanan An China
Xiaojiao Zhang China
Akhtar Mahmood India
Omar Sharif Austria
Joseph F. Cavallari Canada
Hanako Nakajima Japan
Ashfaqul Hoque relative to Rui Zheng China Rui Zheng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ashfaqul Hoque

Since Specialization
Citations

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

Fields of papers citing papers by Ashfaqul Hoque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991172
2 2020124
3 2020101
4 201895
5 201770
6 201868
7 201262
8 201846
9 201633
10 202031
11 202027
12 201126
13 201725
14 201724
15 201022
16 202216
17 201916
18 201414
19 201714
20 202212

About Ashfaqul Hoque

Ashfaqul Hoque is a scholar working on Molecular Biology, Surgery, Infectious Diseases, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Pancreatic function and diabetes (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Mitochondrial Function and Pathology (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Molecular Medicine (74 citations), Endocrinology (71 citations), Physiology (59 citations), Nutrition and Dietetics (153 citations) and Applied Microbiology and Biotechnology (19 citations). Ashfaqul Hoque has collaborated with scholars based in Australia, United States and Bangladesh. Frequent co-authors include Jonathan S. Oakhill, Naomi X.Y. Ling, John W. Scott, Christopher G. Langendorf, Kevin R. W. Ngoei, Bruce E. Kemp, Robert E. Black, Abdullah H Baqui, Hafizur Rahman Chowdhury and R. Bradley Sack. Their work appears in journals such as Cell Reports, Journal of Biological Chemistry, Nature Metabolism, Food Bioscience and Cell Death Discovery.

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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