Lisa Brown

38 papers receiving 2.2k citations

Lisa Brown's Hit Papers

Through the wall: extracellular vesicles in Gram-positive bacteria, mycobacteria and fungi 2015 · 999 citations
9990+3+7Years since publication250500750

Peers

Lisa Brown
Comparison fields: 5 of 150
  • Microbiology 555
  • Biological Psychiatry 84
  • Pharmacology 160
  • Endocrinology 95
  • Emergency Medical Services 98
Replace Jun Ma with:
Jun Ma China
Clarissa Consolandi Italy
Julia Oh United States
Yingyu Chen China
Uwe Mamat Germany
Xin Luo China
Jason Lloyd‐Price United States
Dat Q. Tran United States
Robert A. Quinn United States
A.H. Schutte Germany
Lisa Brown relative to Jun Ma China Jun Ma's profile →
Citations per field
00.5×2.8×
Jun Ma · 1×
Citations per year

Countries citing papers authored by Lisa Brown

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lisa Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lisa Brown Line = papers co-authored together Lisa Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Through the wall: extracellular vesicles in Gram-positive bacteria, mycobacteria and fungi
Hit paper breakdown →
2015999
2 2015137
3 2014134
4 2018133
5 2022131
6 2021122
7 200076
8 202274
9 201369
10 201455
11 201744
12 202038
13 201936
14 202326
15 201919
16 202017
17 201216
18 200814
19 202213
20 202112

About Lisa Brown

Lisa Brown is a scholar working on Pharmacology, Physiology, Microbiology, Molecular Biology and Pharmacology, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (11 papers), Bacterial Infections and Vaccines (6 papers), Diet and metabolism studies (6 papers), Computational Drug Discovery Methods (3 papers), Treatment of Major Depression (3 papers), Tryptophan and brain disorders (3 papers), Pneumonia and Respiratory Infections (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Microbiology (555 citations), Biological Psychiatry (84 citations), Pharmacology (160 citations), Endocrinology (95 citations) and Emergency Medical Services (98 citations). Lisa Brown has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Arturo Casadevall, Rafael Prados‐Rosales, Julie M. Wolf, Daniel J. Müller, José L. Luque-García, Virginia Murray, Pablo Cabezas-Sánchez, Anne Kessler, Bryan Dechairo and Nathan J. Kolla. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Pharmacopsychiatry, Journal of Personalized Medicine, European Neuropsychopharmacology and American Journal of Geriatric Psychiatry.

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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