Mohammed Ullah

1.2k citations
25 papers · 1k · h-index 17

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Drug Transport and Resistance Mechanisms 14
    • Pharmacogenetics and Drug Metabolism 6

Mohammed Ullah

25 papers receiving 969 citations

Peers

Mohammed Ullah
Comparison fields: 5 of 68
  • Pharmacology 244
  • Genetics 144
  • Oncology 333
  • Neurology 68
  • Neurology 28
Replace Sonia M. de Morais with:
Sonia M. de Morais United States
Brian A. Staton United States
Jens Lamerz Switzerland
Heike Knüpfer Germany
Hirotaka Kawakami Japan
Anne Gardin Switzerland
Dan Yu China
Yuanyuan Huang China
Bingyi Wu China
Giselle Pinto de Faria Lopes Brazil
Mohammed Ullah relative to Sonia M. de Morais United States Sonia M. de Morais's profile →
Citations per field
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Sonia M. de Morais · 1×
Citations per year

Countries citing papers authored by Mohammed Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018144
2 2019133
3 202076
4 201575
5 202073
6 200949
7 201142
8 202041
9 201440
10 201740
11 201439
12 201137
13 202036
14 201334
15 202223
16 201720
17 201818
18 202116
19 202014
20 202114

About Mohammed Ullah

Mohammed Ullah is a scholar working on Oncology, Pharmacology, Genetics, Neurology and Developmental Neuroscience, having authored 25 papers that have together received 1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (14 papers), Pharmacogenetics and Drug Metabolism (6 papers), Neurogenetic and Muscular Disorders Research (2 papers), Lysosomal Storage Disorders Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Pharmaceutical studies and practices (1 paper) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Pharmacology (244 citations), Genetics (144 citations), Oncology (333 citations), Neurology (68 citations) and Neurology (28 citations). Mohammed Ullah has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Agnès Poirier, Claudia Senn, Katherine S. Fenner, Kenichi Umehara, Fenghua Hu, Tuancheng Feng, Christoph Funk, Jashvant D. Unadkat, Kazuya Ishida and Katja Heinig. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, mAbs, EMBO Reports and Xenobiotica.

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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