Jeremy Brown

14.9k citations
275 papers · 7.8k indexed · 2 hit papers · h-index 48
Topics
Pneumonia and Respiratory Infections (81 papers)Bacterial Infections and Vaccines (54 papers)Respiratory viral infections research (28 papers)

In The Last Decade

Jeremy Brown

259 papers receiving 7.6k citations

Hit Papers

‘Long-COVID’: a cross-sectional study of persis...201520262018202220202015100200300400500

Peers

Jeremy Brown
Comparison fields: 5 of 175
  • Epidemiology 3.1k
  • Infectious Diseases 1.6k
  • Pulmonary and Respiratory Medicine 1.3k
  • Microbiology 1.2k
  • Public Health, Environmental and Occupational Health 1.1k
Replace Li‐Min Huang with:
Li‐Min Huang Taiwan
Ping‐Ing Lee Taiwan
Allan R. Tunkel United States
Pablo J. Sánchez United States
Ram Yogev United States
Nigel Curtis Australia
Shamez Ladhani United Kingdom
Eugene D. Shapiro United States
Nicola Principi Italy
Luan‐Yin Chang Taiwan
Jeremy Brown relative to Li‐Min Huang Taiwan Li‐Min Huang's profile →
Citations per field
00.5×1.6×
Li‐Min Huang · 1×
Citations per year

Countries citing papers authored by Jeremy Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Brown. A scholar is included among the top collaborators of Jeremy 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 Jeremy Brown. Jeremy Brown 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
#WorkIndexed citations
1 0
2 0
3 1
4 9
5 6
6 8
7 4
8 87
9 0
10
‘Long-COVID’: a cross-sectional study of persisting symptoms, biomarker and imaging abnormalities following hospitalisation for COVID-19breakdown →
575
11 11
12 39
13
Assessing the impact of a neonatal management course
1
14 3
15 5
16 6
17 2
18 29
19 18
20
The surgical management of tuberculosis.
25

About Jeremy Brown

Jeremy Brown is a scholar working on Microbiology, Epidemiology and Infectious Diseases, having authored 275 papers that have together received 7.8k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (81 papers), Bacterial Infections and Vaccines (54 papers) and Respiratory viral infections research (28 papers). The work is most often cited by research in Microbiology (1.2k citations), Epidemiology (3.1k citations) and Infectious Diseases (1.6k citations). Jeremy Brown has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David W. Holden, Sarah M. Gilliland, Catherine Hyams, Jonathan Cohen, Ricardo J. José, José Yuste, Emilie Camberlein, John R. Hurst, James C. Paton and Marina Botto. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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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