Jared M. Brown

76 papers receiving 3.1k citations

Peers

Jared M. Brown
Comparison fields: 5 of 143
  • Immunology and Allergy 226
  • Immunology 749
  • Genetics 346
  • Biomaterials 448
  • Materials Chemistry 875
Replace Hiroto Izumi with:
Hiroto Izumi Japan
Qing Miao China
Fritz Krombach Germany
Christoph A. Reichel Germany
Debabrata Dash India
Zhiping Li China
Paul Thevenot United States
Yongping Su China
Melpo Christofidou‐Solomidou United States
Lan Yuan China
Jared M. Brown relative to Hiroto Izumi Japan Hiroto Izumi's profile →
Citations per field
00.5×2.6×
Hiroto Izumi · 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 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010352
2 2007243
3 2013187
4 2006124
5 2013121
6 2013114
7 2013107
8 2011101
9 200398
10 200685
11 201578
12 200375
13 201067
14 201656
15 201255
16 201555
17
Reversible lung neutrophil accumulation can cause lung injury by elastase-mediated mechanisms.
199055
18 200953
19 201453
20 201453

About Jared M. Brown

Jared M. Brown is a scholar working on Immunology, Materials Chemistry, Molecular Biology, Physiology and Health, Toxicology and Mutagenesis, having authored 81 papers that have together received 3.2k indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (23 papers), Mast cells and histamine (18 papers), Asthma and respiratory diseases (12 papers), Nanoparticle-Based Drug Delivery (10 papers), Air Quality and Health Impacts (8 papers), Graphene and Nanomaterials Applications (8 papers), Allergic Rhinitis and Sensitization (6 papers) and Food Allergy and Anaphylaxis Research (6 papers). The work is most often cited by research in Immunology and Allergy (226 citations), Immunology (749 citations), Genetics (346 citations), Biomaterials (448 citations) and Materials Chemistry (875 citations). Jared M. Brown has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Dean D. Metcalfe, Jonathan H. Shannahan, Ramakrishna Podila, Nasser B. Alsaleh, Todd M. Wilson, Pu Chun Ke, Andrij Holian, Jean C. Pfau, Nataliya M. Kushnir‐Sukhov and Éva Mezey. Their work appears in journals such as The Journal of Immunology, Toxicological Sciences, PLoS ONE, Reproductive Toxicology 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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