Nathan Brown

1.4k citations
35 papers · 944 · h-index 16

Impact in

Papers in

Nathan Brown

34 papers receiving 906 citations

Peers

Nathan Brown
Comparison fields: 5 of 116
  • Reproductive Medicine 121
  • Hematology 134
  • Oral Surgery 73
  • Genetics 202
  • Physiology 28
Replace Matthias Gebauer with:
Matthias Gebauer Germany
Robert L. Donnell United States
Alois Boos Switzerland
Tilmann Wurtz Sweden
Renée Laufer Amorim Brazil
Atsushi Imai Japan
R.C. Herold United States
Joseph A. Lynn United States
Estela Bastos Portugal
Wolfgang Sipos Austria
Nathan Brown relative to Matthias Gebauer Germany Matthias Gebauer's profile →
Citations per field
00.5×10×16.8×
Matthias Gebauer · 1×
Citations per year

Countries citing papers authored by Nathan Brown

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008185
2 1986101
3 197580
4 197758
5 200953
6 200253
7 200345
8 200341
9 197640
10 201939
11 201432
12 200327
13 202026
14 202022
15 200319
16 198019
17 201712
18 201612
19 202211
20 20079

About Nathan Brown

Nathan Brown is a scholar working on Molecular Biology, Genetics, Archeology, Oncology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 944 indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (6 papers), Multiple Myeloma Research and Treatments (4 papers), dental development and anomalies (4 papers), Dental Radiography and Imaging (4 papers), Digital Imaging in Medicine (4 papers), Dental Education, Practice, Research (3 papers), Bone health and treatments (3 papers) and Cleft Lip and Palate Research (3 papers). The work is most often cited by research in Reproductive Medicine (121 citations), Hematology (134 citations), Oral Surgery (73 citations), Genetics (202 citations) and Physiology (28 citations). Nathan Brown has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include B. K. Follett, Bart Barlogie, John D. Shaughnessy, Peter A. Lund, Joshua Epstein, Ya‐Wei Qiang, Yu Chen, Jason P. Mansell, Owen Stephens and Bangzheng Chen. Their work appears in journals such as Blood, Forensic Science International, BDJ, International Journal of Paediatric Dentistry and General and Comparative Endocrinology.

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.

Explore authors with similar magnitude of impact