Daniel R. Brown
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology top 10%
- Anesthesiology and Pain Medicine top 2%
- Emergency Medicine top 5%
- Co-authors
- Daniel A. DiedrichBekele AfessaVitaly HerasevichJuan N. PulidoToshinori YuasaJae K. OhShane GillespieMitsuru Masaki
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (11 papers)Sepsis Diagnosis and Treatment (10 papers)Respiratory Support and Mechanisms (8 papers)
- Cited by
- Anesthesiology and Pain MedicineCritical Care and Intensive Care MedicineEmergency Medicine
- Journals
- ImmunityPLoS ONECHEST Journal
- Partner nations
- United StatesTürkiyeAustralia
In The Last Decade
Daniel R. Brown
56 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Surgery 349
- Cardiology and Cardiovascular Medicine 296
- Epidemiology 291
- Anesthesiology and Pain Medicine 229
- Emergency Medicine 218
Countries citing papers authored by Daniel R. Brown
This map shows the geographic impact of Daniel R. Brown'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 R. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Brown more than expected).
Fields of papers citing papers by Daniel R. Brown
This network shows the impact of papers produced by Daniel R. Brown. 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 R. Brown. The network helps show where Daniel R. Brown may publish in the future.
Co-authorship network of co-authors of Daniel R. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Brown. A scholar is included among the top collaborators of Daniel R. Brown 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 R. Brown. Daniel R. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 44 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 33 | |
| 8 | 228 | |
| 9 | 127 | |
| 10 | Rhabdomyolysis in sertraline intoxication: a case report | 2 |
| 11 | 20 | |
| 12 | 29 | |
| 13 | 36 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | 36 | |
| 18 | 35 | |
| 19 | 4 | |
| 20 | 16 |
About Daniel R. Brown
Daniel R. Brown is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine and Emergency Medicine, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (11 papers), Sepsis Diagnosis and Treatment (10 papers) and Respiratory Support and Mechanisms (8 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (229 citations), Critical Care and Intensive Care Medicine (203 citations) and Emergency Medicine (218 citations). Daniel R. Brown has collaborated with scholars based in United States, Türkiye and Australia. Frequent co-authors include Daniel A. Diedrich, Bekele Afessa, Vitaly Herasevich, Juan N. Pulido, Toshinori Yuasa, Jae K. Oh, Shane Gillespie, Mitsuru Masaki, Jiandong Liu and Qian Li. Their work appears in journals such as Immunity, PLoS ONE and CHEST Journal.
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.