Janet Matthews

4.2k total citations
48 papers, 2.2k citations indexed

About

Janet Matthews is a scholar working on Pathology and Forensic Medicine, Genetics and Immunology. According to data from OpenAlex, Janet Matthews has authored 48 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pathology and Forensic Medicine, 13 papers in Genetics and 13 papers in Immunology. Recurrent topics in Janet Matthews's work include Lymphoma Diagnosis and Treatment (31 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Immune Cell Function and Interaction (8 papers). Janet Matthews is often cited by papers focused on Lymphoma Diagnosis and Treatment (31 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Immune Cell Function and Interaction (8 papers). Janet Matthews collaborates with scholars based in United Kingdom, United States and Australia. Janet Matthews's co-authors include John G. Gribben, Maria Calaminici, Andrew Clear, T. Andrew Lister, A. Z. S. Rohatiner, Andrew Davies, A. J. Norton, Tim Lister, John Amess and Sameena Iqbal and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Janet Matthews

47 papers receiving 2.2k citations

Peers

Janet Matthews
Comparison fields: 5 of 86
  • Pathology and Forensic Medicine 1.6k
  • Oncology 1.2k
  • Genetics 695
  • Immunology 636
  • Hematology 307
Replace Maura Brugiatelli with:
Maura Brugiatelli Italy
Bjørn Østenstad Norway
Carla Casulo United States
R. Gregory Bociek United States
Arne Kolstad Norway
SJ Horning United States
Timothy S. Fenske United States
Christian H. Geisler Denmark
William Townsend United Kingdom
DC Linch United Kingdom
Maura Brugiatelli Italy View profile →
Citations per field, relative to Janet Matthews
Janet Matthews · 1×
Citations per year, relative to Janet Matthews
Janet Matthews · 1×

Countries citing papers authored by Janet Matthews

Since Specialization
Citations

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

Fields of papers citing papers by Janet Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Matthews. A scholar is included among the top collaborators of Janet Matthews 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 Janet Matthews. Janet Matthews 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 1
2 2
3 2
4 5
5 18
6 9
7 10
8 7
9 44
10 83
11 15
12 120
13 8
14 1
15 279
16 15
17 1
18 16
19 76
20 23

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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