Md Ansarullah

1.2k citations
24 papers · 890 · h-index 15

Impact in

Papers in

Md Ansarullah

24 papers receiving 855 citations

Peers

Md Ansarullah
Comparison fields: 5 of 68
  • Cell Biology 195
  • Endocrinology, Diabetes and Metabolism 107
  • Surgery 245
  • Drug Discovery 1
  • Cancer Research 41
Replace Jing‐Yu Lin with:
Jing‐Yu Lin China
Larissa C. Wilsie United States
Cristián Favre Argentina
Tim Ting Chiu Canada
Daniel Rodríguez‐Agudo United States
Muheeb Beg India
Gema Alcarraz‐Vizán Spain
Pamela J. McFie Canada
Alessandra Dicitore Italy
Ju-Qiong Wang China
Md Ansarullah relative to Jing‐Yu Lin China Jing‐Yu Lin's profile →
Citations per field
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Jing‐Yu Lin · 1×
Citations per year

Countries citing papers authored by Md Ansarullah

Since Specialization
Citations

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

Fields of papers citing papers by Md Ansarullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013225
2 202081
3 201969
4 201367
5 202166
6 202162
7 202238
8 201036
9 201335
10 201630
11 201028
12 201523
13 201120
14 201718
15 202118
16 201615
17 202513
18 201712
19 20129
20 20108

About Md Ansarullah

Md Ansarullah is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Molecular Biology and Genetics, having authored 24 papers that have together received 890 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Natural Antidiabetic Agents Studies (2 papers), Genetic Associations and Epidemiology (2 papers), Diabetes Treatment and Management (2 papers), Pluripotent Stem Cells Research (1 paper), Cardiac Ischemia and Reperfusion (1 paper), Protein Tyrosine Phosphatases (1 paper) and Bariatric Surgery and Outcomes (1 paper). The work is most often cited by research in Cell Biology (195 citations), Endocrinology, Diabetes and Metabolism (107 citations), Surgery (245 citations), Drug Discovery (1 citation) and Cancer Research (41 citations). Md Ansarullah has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Mitesh Dwivedi, A. V. Ramachandran, Naresh C. Laddha, Rasheedunnisa Begum, Mohmmad Shoab Mansuri, Amina R. Gani, Sarat Kumar Dalai, Heiko Lickert, Michael Sterr and Johannes Beckers. Their work appears in journals such as Nature Metabolism, Evidence-based Complementary and Alternative Medicine, Molecular Metabolism, PLoS ONE and Human & Experimental Toxicology.

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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