Mark Niosi

1.4k citations
23 papers · 578 · h-index 13

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Physiology top 10%
    • Adenosine and Purinergic Signaling

Papers in

    • Drug Transport and Resistance Mechanisms 13
    • Pharmacogenetics and Drug Metabolism 12

Mark Niosi

22 papers receiving 567 citations

Peers

Mark Niosi
Comparison fields: 5 of 84
  • Pharmacology 218
  • Physiology 49
  • Oncology 261
  • Pediatrics, Perinatology and Child Health 95
  • Clinical Biochemistry 28
Replace Masamitsu Maekawa with:
Masamitsu Maekawa Japan
Ingelore Hackbarth Germany
Atsushi Ose Japan
William Neway United States
Stella Vincent United States
Xiao-Hui Guo China
Christine Wegler Sweden
Bahman M. Sadeghpour Italy
Kazutomi Kusano Japan
Wataru Kishimoto Japan
Mark Niosi relative to Masamitsu Maekawa Japan Masamitsu Maekawa's profile →
Citations per field
00.5×2.7×
Masamitsu Maekawa · 1×
Citations per year

Countries citing papers authored by Mark Niosi

Since Specialization
Citations

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

Fields of papers citing papers by Mark Niosi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 200467
3 201054
4 201848
5 201744
6 201843
7 201741
8 201737
9 201626
10 201822
11 202020
12 201818
13 201318
14 201811
15 20188
16 20187
17 20185
18 20185
19 20244
20 20244

About Mark Niosi

Mark Niosi is a scholar working on Oncology, Pharmacology, Molecular Biology, Pediatrics, Perinatology and Child Health and Organic Chemistry, having authored 23 papers that have together received 578 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (13 papers), Pharmacogenetics and Drug Metabolism (12 papers), Pharmacological Effects and Toxicity Studies (5 papers), Metabolism, Diabetes, and Cancer (2 papers), Receptor Mechanisms and Signaling (2 papers), Cancer therapeutics and mechanisms (2 papers), Biochemical and Molecular Research (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Pharmacology (218 citations), Physiology (49 citations), Oncology (261 citations), Pediatrics, Perinatology and Child Health (95 citations) and Clinical Biochemistry (28 citations). Mark Niosi has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jian Lin, Li Di, Keith Riccardi, Manthena V. S. Varma, Theunis C. Goosen, Rachel E. Kosa, Phillip D. Yates, Cheng Chang, Victor I. Ilyin and Scott Nolan. Their work appears in journals such as Drug Metabolism and Disposition, Drug Metabolism and Pharmacokinetics, Bioorganic & Medicinal Chemistry, Xenobiotica and Journal of Pharmacology and Experimental Therapeutics.

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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