Kim Lawson

1.4k total citations
62 papers, 1.1k citations indexed

About

Kim Lawson is a scholar working on Psychiatry and Mental health, Molecular Biology and Pharmacology. According to data from OpenAlex, Kim Lawson has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Psychiatry and Mental health, 19 papers in Molecular Biology and 18 papers in Pharmacology. Recurrent topics in Kim Lawson's work include Fibromyalgia and Chronic Fatigue Syndrome Research (22 papers), Musculoskeletal pain and rehabilitation (17 papers) and Ion channel regulation and function (16 papers). Kim Lawson is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (22 papers), Musculoskeletal pain and rehabilitation (17 papers) and Ion channel regulation and function (16 papers). Kim Lawson collaborates with scholars based in United Kingdom, France and Italy. Kim Lawson's co-authors include Neil G. McKay, Vincenzo Calderone, Alma Martelli, Penny Furness, Sarah Haywood‐Small, Sophie Taylor, Sarah Curtis, Icilio Cavero, Maria Cristina Breschi and Maurizio Taglialatela and has published in prestigious journals such as SHILAP Revista de lepidopterología, Kidney International and Social Science & Medicine.

In The Last Decade

Kim Lawson

58 papers receiving 1.0k citations

Peers

Kim Lawson
Comparison fields: 5 of 135
  • Molecular Biology 330
  • Psychiatry and Mental health 280
  • Physiology 216
  • Pharmacology 189
  • Cellular and Molecular Neuroscience 163
Replace Roger Desnyder with:
Roger Desnyder Belgium
Chiara C. Bortolasci Australia
David D. Kim Canada
Stephen E. O'Connor France
Mohit P. Chopra United States
Chiao‐Chicy Chen Taiwan
Lisa D. Coles United States
Chieh‐Liang Huang Taiwan
N Delanty Ireland
Michael G. Wyllie United Kingdom
Roger Desnyder Belgium View profile →
Citations per field, relative to Kim Lawson
Kim Lawson · 1×
Citations per year, relative to Kim Lawson
Kim Lawson · 1×

Countries citing papers authored by Kim Lawson

Since Specialization
Citations

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

Fields of papers citing papers by Kim Lawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Lawson

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Lawson. A scholar is included among the top collaborators of Kim Lawson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim Lawson. Kim Lawson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 21
4 28
5 2
6 26
7 21
8 8
9 108
10 11
11 36
12 6
13 34
14 47
15 17
16 98
17 39
18 2
19 78
20 2

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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