John K. Fallon

2.6k citations
70 papers · 2.1k · h-index 27

Impact in

  • Toxicology top 0.5%
    • Forensic Toxicology and Drug Analysis
  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism

Papers in

    • Drug Transport and Resistance Mechanisms 25
    • Pharmacogenetics and Drug Metabolism 16

John K. Fallon

66 papers receiving 2.0k citations

Peers

John K. Fallon
Comparison fields: 5 of 112
  • Toxicology 199
  • Pharmacology 500
  • Oncology 578
  • Biomaterials 283
  • Pharmaceutical Science 125
Replace Donna A. Volpe with:
Donna A. Volpe United States
Markos Leggas United States
Yasuyuki Sadzuka Japan
M. J. X. Hillebrand Netherlands
Rajesh Krishna United States
Seigo Iwakawa Japan
Raymond E. Galinsky United States
Matthias Ocker Germany
Fusao Komada Japan
Jouko Savolainen Finland
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Citations per field
00.5×4.4×
Donna A. Volpe · 1×
Citations per year

Countries citing papers authored by John K. Fallon

Since Specialization
Citations

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

Fields of papers citing papers by John K. Fallon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. Fallon. 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 John K. Fallon. The network helps show where John K. Fallon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014235
2 2011155
3 2013113
4 199996
5 201492
6 201582
7 201381
8 200263
9 201362
10 201056
11 201253
12 201652
13 201644
14 201543
15 201943
16 200842
17 200240
18 200137
19 201737
20 201933

About John K. Fallon

John K. Fallon is a scholar working on Oncology, Pharmacology, Molecular Biology, Pediatrics, Perinatology and Child Health and Biomaterials, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (25 papers), Pharmacogenetics and Drug Metabolism (16 papers), Pharmacological Effects and Toxicity Studies (9 papers), Nanoparticle-Based Drug Delivery (8 papers), Inhalation and Respiratory Drug Delivery (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Forensic Toxicology and Drug Analysis (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Toxicology (199 citations), Pharmacology (500 citations), Oncology (578 citations), Biomaterials (283 citations) and Pharmaceutical Science (125 citations). John K. Fallon has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Philip C. Smith, Theunis C. Goosen, Andrew T. Kicman, Hendrik Neubert, David Cowan, Yan Ma, Andrew J. Hutt, Zhonggui He, Joseph K. Ritter and David E. Harbourt. Their work appears in journals such as Drug Metabolism and Disposition, Frontiers in Pharmacology, The AAPS Journal, Journal of Pharmaceutical Sciences and Antimicrobial Agents and Chemotherapy.

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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