Mark Laughlin

3.2k citations
33 papers · 2.4k indexed · h-index 18

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • Antifungal resistance and susceptibility
    • HIV/AIDS drug development and treatment

Papers in

    • Antifungal resistance and susceptibility 7
    • HIV/AIDS Research and Interventions 5
    • HIV Research and Treatment 10

Mark Laughlin

33 papers receiving 2.4k citations

Peers

Mark Laughlin
Comparison fields: 5 of 108
  • Virology 731
  • Infectious Diseases 1.2k
  • Epidemiology 934
  • Pharmacology 397
  • Neurology 145
Replace Edward P. Garvey with:
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Janis Lazdins Switzerland
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Citations per field
00.5×1.7×
Edward P. Garvey · 1×
Citations per year

Countries citing papers authored by Mark Laughlin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Laughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991445
2 2003267
3 1989254
4 2003244
5 2008204
6 2004167
7 2005151
8 2004113
9 200794
10 200594
11 199361
12 198950
13 199440
14 199639
15 200336
16 197832
17 199531
18 199119
19 200615
20 201213

About Mark Laughlin

Mark Laughlin is a scholar working on Infectious Diseases, Virology, Pharmacology, Physiology and Molecular Biology, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Antifungal resistance and susceptibility (7 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Alzheimer's disease research and treatments (5 papers), HIV/AIDS Research and Interventions (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Computational Drug Discovery Methods (3 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Virology (731 citations), Infectious Diseases (1.2k citations), Epidemiology (934 citations), Pharmacology (397 citations) and Neurology (145 citations). Mark Laughlin has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Josephine Lim, Rachel Courtney, Francisco González‐Scarano, Janet M. Harouse, David Wexler, Elaine Radwanski, Steven L. Spitalnik, Donald H. Silberberg, Shama Bhat and Vijay Batra. Their work appears in journals such as Alzheimer s & Dementia, Clinical Pharmacology & Therapeutics, Antimicrobial Agents and Chemotherapy, Proceedings of the National Academy of Sciences and Annals of Neurology.

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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