Jared M. Brown

74 papers receiving 2.9k citations

Peers

Jared M. Brown
Comparison fields: 5 of 141
  • Immunology and Allergy 248
  • Immunology 774
  • Biomaterials 434
  • Genetics 344
  • Health, Toxicology and Mutagenesis 264
Replace Fritz Krombach with:
Fritz Krombach Germany
Christoph A. Reichel Germany
Debabrata Dash India
Zhiping Li China
Shaohua Wang China
Melpo Christofidou‐Solomidou United States
Paul Thevenot United States
Ya‐Wen Chen China
Yongping Su China
Lan Yuan China
Jared M. Brown relative to Fritz Krombach Germany Fritz Krombach's profile →
Citations per field
00.5×3.3×
Fritz Krombach · 1×
Citations per year

Countries citing papers authored by Jared M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jared M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jared M. 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 Jared M. Brown Line = papers co-authored together Jared M. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010337
2 2007235
3 2013175
4 2006112
5 2013112
6 2013109
7 201397
8 201191
9 200390
10 200679
11 200369
12 201568
13 201065
14
Reversible lung neutrophil accumulation can cause lung injury by elastase-mediated mechanisms.
199053
15 201253
16 201652
17 201551
18 200548
19 201448
20 201448

About Jared M. Brown

Jared M. Brown is a scholar working on Materials Chemistry, Immunology, Molecular Biology, Health, Toxicology and Mutagenesis and Biomedical Engineering, having authored 75 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (24 papers), Mast cells and histamine (17 papers), Nanoparticle-Based Drug Delivery (10 papers), Asthma and respiratory diseases (9 papers), Air Quality and Health Impacts (9 papers), Graphene and Nanomaterials Applications (8 papers), Allergic Rhinitis and Sensitization (7 papers) and Food Allergy and Anaphylaxis Research (5 papers). The work is most often cited by research in Immunology and Allergy (248 citations), Immunology (774 citations), Biomaterials (434 citations), Genetics (344 citations) and Health, Toxicology and Mutagenesis (264 citations). Jared M. Brown has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Dean D. Metcalfe, Jonathan H. Shannahan, Ramakrishna Podila, Todd M. Wilson, Nasser B. Alsaleh, Pu Chun Ke, Andrij Holian, Jean C. Pfau, Nataliya M. Kushnir‐Sukhov and Krisztián Németh. Their work appears in journals such as The Journal of Immunology, Toxicological Sciences, PLoS ONE, Frontiers in Immunology and Current Opinion in Toxicology.

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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