Mohammad Bohlooly‐Y

96 papers receiving 12.5k citations

Mohammad Bohlooly‐Y's Hit Papers

Rare variant contribution to human disease in 281,104 UK Biobank exomes 2021 · 341 citations
3410+7+14Years since publication10002.0k3.0k4.0k

Peers

Mohammad Bohlooly‐Y
Comparison fields: 5 of 144
  • Aging 612
  • Biological Psychiatry 379
  • Endocrine and Autonomic Systems 920
  • Physiology 3.2k
  • Molecular Biology 7.4k
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Aurelia Santoro Italy
Jonathan D. Schertzer Canada
Jean‐François Tanti France
MIRIAM CNOP Belgium
Philippe Lefèbvre France
Marcus Ståhlman Sweden
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Citations per year

Countries citing papers authored by Mohammad Bohlooly‐Y

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Bohlooly‐Y

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Microbial Metabolites, Short-Chain Fatty Acids, Regulate Colonic T reg Cell Homeostasis
Hit paper breakdown →
20134528
2
Premature ageing in mice expressing defective mitochondrial DNA polymerase
Hit paper breakdown →
20042243
3
Mitochondria are required for pro‐ageing features of the senescent phenotype
Hit paper breakdown →
2016640
4
Rare variant contribution to human disease in 281,104 UK Biobank exomes
Hit paper breakdown →
2021341
5 2010286
6 2018266
7 2010263
8 2011244
9 2006240
10 2007226
11 2017184
12 2019182
13 2005156
14 2001121
15 2007117
16 2023102
17 201993
18 200588
19 201383
20 202383

About Mohammad Bohlooly‐Y

Mohammad Bohlooly‐Y is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology and Genetics, having authored 96 papers that have together received 12.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (20 papers), Adipose Tissue and Metabolism (20 papers), Regulation of Appetite and Obesity (18 papers), CRISPR and Genetic Engineering (11 papers), Pancreatic function and diabetes (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Lipid metabolism and biosynthesis (6 papers) and Biochemical Analysis and Sensing Techniques (5 papers). The work is most often cited by research in Aging (612 citations), Biological Psychiatry (379 citations), Endocrine and Autonomic Systems (920 citations), Physiology (3.2k citations) and Molecular Biology (7.4k citations). Mohammad Bohlooly‐Y has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Monia Michaud, Jonathan N. Glickman, Michael R. Howitt, Patrick M. Smith, Wendy S. Garrett, Nicolai S. Panikov, Carey Ann Gallini, Jan Törnell, Carl E.G. Bruder and Anja T. Rovio. Their work appears in journals such as Endocrinology, Biochemical and Biophysical Research Communications, American Journal of Physiology-Endocrinology and Metabolism, PLoS ONE and Nature Communications.

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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