Martin Pearce

460 total citations
15 papers, 308 citations indexed

About

Martin Pearce is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Martin Pearce has authored 15 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in Martin Pearce's work include Neuroscience and Neuropharmacology Research (2 papers), Bacillus and Francisella bacterial research (2 papers) and Ion channel regulation and function (2 papers). Martin Pearce is often cited by papers focused on Neuroscience and Neuropharmacology Research (2 papers), Bacillus and Francisella bacterial research (2 papers) and Ion channel regulation and function (2 papers). Martin Pearce collaborates with scholars based in United Kingdom, United States and Germany. Martin Pearce's co-authors include Gale Brightwell, Peter V. Taberner, Dario L. Leslie, Steven J.M. Jones, Jeremy H. Lakey, Julie Ann Miller, Richard W. Titball, Jeffrey C. Watkins, E. Diane Williamson and John Patterson and has published in prestigious journals such as Analytical Biochemistry, Brain Research and Biochemical Pharmacology.

In The Last Decade

Martin Pearce

14 papers receiving 290 citations

Peers

Martin Pearce
Comparison fields: 5 of 87
  • Molecular Biology 154
  • Immunology 64
  • Genetics 60
  • Biotechnology 55
  • Epidemiology 44
Replace Manisha Saini with:
Manisha Saini India
Lokesh P. Tripathi Japan
Yorick Janssens Belgium
Fernando Ramón Spain
Graham Hotchkiss Sweden
Radha Mahendran India
Bhusan K. Kuntal India
Allen W. Bryan United States
Sen Liu China
Manisha Saini India View profile →
Citations per field, relative to Martin Pearce
Martin Pearce · 1×
Citations per year, relative to Martin Pearce
Martin Pearce · 1×

Countries citing papers authored by Martin Pearce

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pearce. A scholar is included among the top collaborators of Martin Pearce 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 Martin Pearce. Martin Pearce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 15
2 2
3 8
4 66
5 1
6 56
7
Handmade Shoes for Men
1
8 37
9 58
10 3
11
CASE-BASED DESIGN SUPPORT-A CASE STUDY IN ARCHITECTURAL
1
12 1
13 30
14 4
15 25

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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