John D. Laughlin
Impact in
- Insect Science top 2%
- Insect Utilization and Effects
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
-
- Neurobiology and Insect Physiology Research
Papers in
-
- Melanoma and MAPK Pathways 4
- Protein Kinase Regulation and GTPase Signaling 2
- Cell death mechanisms and regulation 2
- Co-authors
- Dean P. Smith (1 shared paper)Tal Soo Ha (1 shared paper)David N. M. Jones (1 shared paper)Philip V. LoGrasso (4 shared papers)Mariana Figuera-Losada (3 shared papers)Scott B. Ficarro (1 shared paper)Ting Xie (1 shared paper)Mario Niepel (1 shared paper)
- Journals
- Journal of Bodywork and Movement Therapies (1 paper)Psychology in the Schools (1 paper)Journal of Medicinal Chemistry (1 paper)Structure (1 paper)Journal of Youth and Adolescence (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
John D. Laughlin
11 papers receiving 859 citations
Peers
Comparison fields: 5 of 109
- Insect Science 253
- Cellular and Molecular Neuroscience 355
- Sensory Systems 41
- Genetics 183
- Molecular Biology 377
Countries citing papers authored by John D. Laughlin
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 375 | |
| 2 | 2012 | 278 | |
| 3 | 2009 | 53 | |
| 4 | 2011 | 39 | |
| 5 | 2012 | 37 | |
| 6 | 1997 | 34 | |
| 7 | 1998 | 33 | |
| 8 | Identifying Market Mavens Online by Their Social Behaviors in Community-Generated Media | 2010 | 28 |
| 9 | 1987 | 6 | |
| 10 | 1981 | 2 | |
| 11 | 2002 | 1 |
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 11 papers that have together received 886 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Computational Drug Discovery Methods (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cell death mechanisms and regulation (2 papers), Knowledge Management and Sharing (1 paper), Bullying, Victimization, and Aggression (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Real-Time Systems Scheduling (1 paper). The work is most often cited by research in Insect Science (253 citations), Cellular and Molecular Neuroscience (355 citations), Sensory Systems (41 citations), Genetics (183 citations) and Molecular Biology (377 citations). John D. Laughlin has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Dean P. Smith, Tal Soo Ha, David N. M. Jones, Philip V. LoGrasso, Mariana Figuera-Losada, Scott B. Ficarro, Ting Xie, Mario Niepel, Tyzoon Nomanbhoy and Jianming Zhang. Their work appears in journals such as Journal of Bodywork and Movement Therapies, Psychology in the Schools, Journal of Medicinal Chemistry, Structure and Journal of Youth and Adolescence.
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.