Daniel P. McQuillen
- Microbiology top 0.5%
- Infectious Diseases top 5%
- Epidemiology top 10%
- Immunology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Peter A. RiceSunita GulatiSanjay RamMichael K. PangburnChristopher A. ElkinsAjay SharmaScott D. SimpsonLawrence Martinelli
- Topics
- Bacterial Infections and Vaccines (12 papers)Reproductive tract infections research (5 papers)Complement system in diseases (5 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Daniel P. McQuillen
30 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Microbiology 626
- Infectious Diseases 505
- Epidemiology 436
- Immunology 425
- Public Health, Environmental and Occupational Health 313
Countries citing papers authored by Daniel P. McQuillen
This map shows the geographic impact of Daniel P. McQuillen'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 Daniel P. McQuillen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. McQuillen more than expected).
Fields of papers citing papers by Daniel P. McQuillen
This network shows the impact of papers produced by Daniel P. McQuillen. 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 Daniel P. McQuillen. The network helps show where Daniel P. McQuillen may publish in the future.
Co-authorship network of co-authors of Daniel P. McQuillen
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. McQuillen. A scholar is included among the top collaborators of Daniel P. McQuillen 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 Daniel P. McQuillen. Daniel P. McQuillen 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 | 5 | |
| 3 | 29 | |
| 4 | 0 | |
| 5 | 35 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 98 | |
| 9 | 141 | |
| 10 | 4 | |
| 11 | 63 | |
| 12 | 48 | |
| 13 | 13 | |
| 14 | 39 | |
| 15 | 122 | |
| 16 | 4 | |
| 17 | 66 | |
| 18 | Pneumocystis carinii pneumonia complicating somatostatin therapy of Cushing's syndrome in a patient with metastatic pancreatic islet cell carcinoma and Zollinger-Ellison syndrome. | 7 |
| 19 | 6 | |
| 20 | 12 |
About Daniel P. McQuillen
Daniel P. McQuillen is a scholar working on Microbiology, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (12 papers), Reproductive tract infections research (5 papers) and Complement system in diseases (5 papers). The work is most often cited by research in Microbiology (626 citations), Applied Microbiology and Biotechnology (148 citations) and Parasitology (191 citations). Daniel P. McQuillen has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Peter A. Rice, Sunita Gulati, Sanjay Ram, Michael K. Pangburn, Christopher A. Elkins, Ajay Sharma, Scott D. Simpson, Lawrence Martinelli, Ronald Nahass and Ann Macintyre. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.