Linda M. Simpson

1.7k citations
21 papers · 1.3k indexed · h-index 13
Topics
Vibrio bacteria research studies (15 papers)Bacterial Genetics and Biotechnology (4 papers)Aquaculture disease management and microbiota (4 papers)

In The Last Decade

Linda M. Simpson

21 papers receiving 1.2k citations

Peers

Linda M. Simpson
Comparison fields: 5 of 96
  • Endocrinology 980
  • Immunology 542
  • Molecular Biology 384
  • Food Science 255
  • Genetics 238
Replace Dieter Weichart with:
Dieter Weichart United Kingdom
W. E. Norris United States
J. E. Schultz United States
Kenny C. Mok United States
Klaus Bryn Norway
A C Wright United States
Thomas Spirig Switzerland
A Norqvist Sweden
Yingxue Qin China
Miguel Balado Spain
Linda M. Simpson relative to Dieter Weichart United Kingdom Dieter Weichart's profile →
Citations per field
00.5×3.1×
Dieter Weichart · 1×
Citations per year

Countries citing papers authored by Linda M. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Linda M. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda M. Simpson. 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 Linda M. Simpson. The network helps show where Linda M. Simpson may publish in the future.

Co-authorship network of co-authors of Linda M. Simpson

This figure shows the co-authorship network connecting the top 25 collaborators of Linda M. Simpson. A scholar is included among the top collaborators of Linda M. Simpson 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 Linda M. Simpson. Linda M. Simpson 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
#WorkIndexed citations
1 1
2 196
3 6
4 10
5 12
6
Physiological effects of the lipopolysaccharide of Vibrio vulnificus on mice and rats.
33
7 176
8 6
9 38
10 7
11 58
12 39
13 168
14 1
15 24
16 24
17 136
18 281
19 11
20 46

About Linda M. Simpson

Linda M. Simpson is a scholar working on Endocrinology, Filtration and Separation and Hematology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (15 papers), Bacterial Genetics and Biotechnology (4 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Endocrinology (980 citations), Immunology (542 citations) and Food Science (255 citations). Linda M. Simpson has collaborated with scholars based in United States, Switzerland and Denmark. Frequent co-authors include James D. Oliver, Anita C. Wright, J. Glenn Morris, J D Oliver, Diane McDougald, J. A. Campbell, John A. Watts, G Massad, David E. Johnson and James C. Travis. Their work appears in journals such as Applied and Environmental Microbiology, The Journal of Physical Chemistry and Infection and Immunity.

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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