Michelle E. Brown

10 papers receiving 860 citations

Peers

Michelle E. Brown
Comparison fields: 5 of 52
  • Hepatology 467
  • Virology 196
  • Immunology 395
  • Epidemiology 523
  • Infectious Diseases 76
Replace Norbert H. Grüner with:
Norbert H. Grüner Germany
Vincenzo Lamonaca Italy
Nadine Kersting Germany
Mary E. Valiga United States
Kay Rispeter Germany
Luca Sacchelli Italy
Simon C. Hellier United Kingdom
Bridget M. Donovan United States
Ahmed Fatmi France
Nicole Castelblanco United States
Michelle E. Brown relative to Norbert H. Grüner Germany Norbert H. Grüner's profile →
Citations per field
00.5×1.5×1.9×
Norbert H. Grüner · 1×
Citations per year

Countries citing papers authored by Michelle E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Michelle E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Michelle E. 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 Michelle E. Brown Line = papers co-authored together Michelle E. Brown links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1995429
2 1995292
3 1997156
4
Inhibition of HIV-1 Infection by the b-Chemokine MDC
20169
5 20224
6 19774
7
Tumors produced in rats with a single dosage of 1,2-dimethylhydrazine.
19931
8 19881
9 20241
10 20251

About Michelle E. Brown

Michelle E. Brown is a scholar working on Virology, Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine, Hepatology and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 898 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (2 papers), HIV Research and Treatment (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Respiratory Support and Mechanisms (1 paper), Cardiovascular Function and Risk Factors (1 paper), Diabetes and associated disorders (1 paper), Pain Management and Opioid Use (1 paper) and Various Chemistry Research Topics (1 paper). The work is most often cited by research in Hepatology (467 citations), Virology (196 citations), Immunology (395 citations), Epidemiology (523 citations) and Infectious Diseases (76 citations). Michelle E. Brown has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Francis V. Chisari, P Fowler, Bernard A. Moss, Alessandro Sette, John Sidney, A. G. Redeker, Barbara Rehermann, Claudio Pasquinelli, Benno Grabscheid and Andreas Cerny. Their work appears in journals such as The Journal of Experimental Medicine, Burns, Journal of Pharmacology and Experimental Therapeutics, Science and Clinical Chemistry.

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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