Matthew J. Cummings
- Infectious Diseases top 1%
- Neurology top 2%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology top 10%
- Co-authors
- Max R. O’DonnellMatthew R. BaldwinJan ClaassenBeth HochmanLeRoy E. RabbaniSamuel D. JacobsonNatalie YipJustin G. Aaron
- Topics
- Tuberculosis Research and Epidemiology (10 papers)Sepsis Diagnosis and Treatment (8 papers)Influenza Virus Research Studies (5 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesUgandaUnited Kingdom
In The Last Decade
Matthew J. Cummings
30 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Infectious Diseases 1.0k
- Neurology 620
- Oncology 311
- Pulmonary and Respiratory Medicine 305
- Epidemiology 294
Countries citing papers authored by Matthew J. Cummings
This map shows the geographic impact of Matthew J. Cummings'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 J. Cummings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Cummings more than expected).
Fields of papers citing papers by Matthew J. Cummings
This network shows the impact of papers produced by Matthew J. Cummings. 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 J. Cummings. The network helps show where Matthew J. Cummings may publish in the future.
Co-authorship network of co-authors of Matthew J. Cummings
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Cummings. A scholar is included among the top collaborators of Matthew J. Cummings 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 J. Cummings. Matthew J. Cummings is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 11 | |
| 12 | 15 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 18 | |
| 16 | 4 | |
| 17 | 21 | |
| 18 | 16 | |
| 19 | 11 | |
| 20 | 6 |
About Matthew J. Cummings
Matthew J. Cummings is a scholar working on Infectious Diseases, Modeling and Simulation and Critical Care and Intensive Care Medicine, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Sepsis Diagnosis and Treatment (8 papers) and Influenza Virus Research Studies (5 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Critical Care and Intensive Care Medicine (234 citations) and Neurology (620 citations). Matthew J. Cummings has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Max R. O’Donnell, Matthew R. Baldwin, Jan Claassen, Beth Hochman, LeRoy E. Rabbani, Samuel D. Jacobson, Natalie Yip, Justin G. Aaron, John Salazar‐Schicchi and Daniel Brodie. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.