Bilal E. Kerman

2.2k citations
31 papers · 1.4k · h-index 11

Impact in

Papers in

Bilal E. Kerman

28 papers receiving 1.3k citations

Peers

Bilal E. Kerman
Comparison fields: 5 of 91
  • Developmental Neuroscience 300
  • Neurology 320
  • Cellular and Molecular Neuroscience 344
  • Biological Psychiatry 33
  • Molecular Biology 634
Replace Kathryn K. Bercury with:
Kathryn K. Bercury United States
Ursula Fünfschilling Germany
Stanislaw Mitew Australia
Paulo D. Koeberle Canada
Zuzana Šišková United Kingdom
Siming Shen United States
Ileana Soto United States
Marcus Keatinge United Kingdom
Chiara Rolando Italy
Vincent Pernet Canada
Bilal E. Kerman relative to Kathryn K. Bercury United States Kathryn K. Bercury's profile →
Citations per field
00.5×1.5×2.4×
Kathryn K. Bercury · 1×
Citations per year

Countries citing papers authored by Bilal E. Kerman

Since Specialization
Citations

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

Fields of papers citing papers by Bilal E. Kerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bilal E. Kerman. 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 Bilal E. Kerman. The network helps show where Bilal E. Kerman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013416
2 2014271
3 2015172
4 2017106
5 201580
6 200670
7 200862
8 201659
9 200834
10 202216
11 202514
12 20239
13 20239
14 20098
15 20165
16 20104
17 20224
18 20204
19 20224
20 20234

About Bilal E. Kerman

Bilal E. Kerman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Developmental Neuroscience and Neurology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers), Developmental Biology and Gene Regulation (4 papers), Fatty Acid Research and Health (3 papers), Cholesterol and Lipid Metabolism (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA Research and Splicing (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Developmental Neuroscience (300 citations), Neurology (320 citations), Cellular and Molecular Neuroscience (344 citations), Biological Psychiatry (33 citations) and Molecular Biology (634 citations). Bilal E. Kerman has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Fred H. Gage, Deborah J. Andrew, Christopher Benner, Hyung Joon Kim, Krishnan Padmanabhan, Jonathan G. Swoboda, Luke L. Lairson, V. Deshmukh, Argyrios N. Theofilopoulos and Costas A. Lyssiotis. Their work appears in journals such as Developmental Dynamics, Alzheimer s & Dementia, Alzheimer s Research & Therapy, Journal of Lipid Research and Bioinformatics.

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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