John D. Laughlin

1.1k citations
12 papers · 928 · h-index 8

Impact in

Papers in

    • Melanoma and MAPK Pathways 4
    • Cell death mechanisms and regulation 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Child Abuse and Trauma 1

John D. Laughlin

12 papers receiving 900 citations

Peers

John D. Laughlin
Comparison fields: 5 of 109
  • Cellular and Molecular Neuroscience 363
  • Insect Science 238
  • Sensory Systems 41
  • Genetics 180
  • Molecular Biology 378
Replace Karin Schneider with:
Karin Schneider Germany
Mark D. Dibner United States
Michael P. McKenna United States
Johanna S. Rees United Kingdom
Craig S. Walker United States
Katja Köhler Switzerland
Fabrice David Switzerland
Stephen Paul Foster United States
Adrian Woolfson United States
Richard L. Beard United States
John D. Laughlin relative to Karin Schneider Germany Karin Schneider's profile →
Citations per field
00.5×6.8×
Karin Schneider · 1×
Citations per year

Countries citing papers authored by John D. Laughlin

Since Specialization
Citations

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

Fields of papers citing papers by John D. Laughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008388
2 2012294
3 200956
4 201140
5 201239
6 199736
7 199834
8
Identifying Market Mavens Online by Their Social Behaviors in Community-Generated Media
201031
9 19876
10 19812
11 20021
12 20021

About John D. Laughlin

John D. Laughlin is a scholar working on Molecular Biology, Clinical Psychology, Sociology and Political Science, Computational Theory and Mathematics and Organic Chemistry, having authored 12 papers that have together received 928 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Cell death mechanisms and regulation (2 papers), Computational Drug Discovery Methods (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Dental Anxiety and Anesthesia Techniques (1 paper), Child Abuse and Trauma (1 paper), Knowledge Management and Sharing (1 paper) and Orthodontics and Dentofacial Orthopedics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (363 citations), Insect Science (238 citations), Sensory Systems (41 citations), Genetics (180 citations) and Molecular Biology (378 citations). John D. Laughlin has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Tal Soo Ha, David N. M. Jones, Dean P. Smith, Philip V. LoGrasso, Mariana Figuera-Losada, Tinghu Zhang, Scott B. Ficarro, Ting Xie, Jianming Zhang and Jason MacDonald. Their work appears in journals such as Journal of Bodywork and Movement Therapies, ACS Chemical Biology, Cell, Journal of Youth and Adolescence and Journal of Medicinal Chemistry.

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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