Matthew Graham

853 citations
16 papers · 460 indexed · h-index 9
Topics
Parasites and Host Interactions (4 papers)COVID-19 epidemiological studies (3 papers)HIV/AIDS Research and Interventions (3 papers)

In The Last Decade

Matthew Graham

15 papers receiving 448 citations

Peers

Matthew Graham
Comparison fields: 5 of 85
  • Infectious Diseases 294
  • Epidemiology 284
  • Oncology 112
  • Modeling and Simulation 56
  • Health 48
Replace Laura Tondeur with:
Laura Tondeur France
Emmanuel Lecorché France
Selma Tosun Türkiye
Martin W. Bratschi Switzerland
Edwin Nuwagira Uganda
Jon Salmanton‐García Germany
Holly Murphy Nepal
Adrienne Guignard Belgium
Yi Hu China
J. Smith United States
Matthew Graham relative to Laura Tondeur France Laura Tondeur's profile →
Citations per field
00.5×4.7×
Laura Tondeur · 1×
Citations per year

Countries citing papers authored by Matthew Graham

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Graham

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 6
3 3
4 4
5 0
6 16
7 10
8 31
9 4
10 48
11 4
12 8
13 18
14 212
15 87
16
The effects of TCDD on receptors for epidermal growth factor, glucocorticoid, and estrogen in Ah-responsive and -nonresponsive congenic mice and the effects of TCDD on estradiol metabolism in a liver tumor promotion model in female rats.
8

About Matthew Graham

Matthew Graham is a scholar working on Modeling and Simulation, Parasitology and Infectious Diseases, having authored 16 papers that have together received 460 indexed citations. Recurring topics across this work include Parasites and Host Interactions (4 papers), COVID-19 epidemiological studies (3 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Infectious Diseases (294 citations), Modeling and Simulation (56 citations) and Epidemiology (284 citations). Matthew Graham has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Marc Gurwith, Carole B. Miller, J.-A. van Burik, John R. Wingard, Jin Lin, Aileen McCabe, Gary A. Noskin, Mary H. White, Eric Sandler and M. Goldman. Their work appears in journals such as Science, Journal of Clinical Oncology and Clinical Infectious Diseases.

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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