Peter C. Brown

33 papers receiving 1.8k citations

Hit Papers

Make It Stick 2014 · 375 citations
3750+4+8Years since publication100200300

Peers

Peter C. Brown
Comparison fields: 5 of 159
  • Cancer Research 231
  • Family Practice 33
  • Molecular Biology 989
  • Genetics 338
  • Developmental and Educational Psychology 125
Replace Antonio Sarikas with:
Antonio Sarikas Germany
E. Duvall United Kingdom
Paul M. Heidger United States
Richard März Austria
Yu‐Fen Lin United States
Linda Titus United States
Thomas Richter Germany
Kulsoom Ghias Pakistan
David Bleich United States
Chuan Chen China
Peter C. Brown relative to Antonio Sarikas Germany Antonio Sarikas's profile →
Citations per field
00.5×8.9×
Antonio Sarikas · 1×
Citations per year

Countries citing papers authored by Peter C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter C. 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 Peter C. Brown Line = papers co-authored together Peter C. 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
Make It Stick
Hit paper breakdown →
2014375
2 1979328
3 1983172
4 1984109
5 1981105
6 1983101
7 198192
8 198177
9 201469
10 197963
11 198160
12 199856
13 198540
14 200737
15 198135
16 198431
17 201230
18 198127
19 197918
20 198717

About Peter C. Brown

Peter C. Brown is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Geometry and Topology, Ecology and Algebra and Number Theory, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (9 papers), CRISPR and Genetic Engineering (5 papers), Molecular Biology Techniques and Applications (4 papers), Microbial Fuel Cells and Bioremediation (3 papers), Virus-based gene therapy research (3 papers), Microbial Community Ecology and Physiology (3 papers), Chromosomal and Genetic Variations (3 papers) and Algebraic structures and combinatorial models (3 papers). The work is most often cited by research in Cancer Research (231 citations), Family Practice (33 citations), Molecular Biology (989 citations), Genetics (338 citations) and Developmental and Educational Psychology (125 citations). Peter C. Brown has collaborated with scholars based in United States, Sweden and Mexico. Frequent co-authors include Robert Schimke, Randal J. Kaufman, Mark A. McDaniel, Henry L. Roediger, Thea D. Tlsty, John Papaconstantinou, Stephen M. Beverley, Laura N. Lowes, Michael McGrogan and Doris L. Slate. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, BMC Bioinformatics, Cold Spring Harbor Symposia on Quantitative Biology and Methods in enzymology on CD-ROM/Methods in enzymology.

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