Jennifer J. Brown

748 citations
21 papers · 590 indexed · h-index 12
Topics
Escherichia coli research studies (5 papers)Colorectal Cancer Screening and Detection (4 papers)Global Cancer Incidence and Screening (3 papers)

In The Last Decade

Jennifer J. Brown

21 papers receiving 576 citations

Peers

Jennifer J. Brown
Comparison fields: 5 of 84
  • Endocrinology 294
  • Molecular Biology 157
  • Epidemiology 131
  • Genetics 98
  • Molecular Medicine 93
Replace Johannes Putze with:
Johannes Putze Germany
Emilie Fargier Ireland
Jayde A. Gawthorne Australia
Jessica Queen United States
Baisheng Li China
Brittany N. Ross United States
Taro Noguchi Japan
Annika I. Nilsson Sweden
Farida Hilali Morocco
Subramanian Krishnan United States
Jennifer J. Brown relative to Johannes Putze Germany Johannes Putze's profile →
Citations per field
00.5×1.5×2.2×
Johannes Putze · 1×
Citations per year

Countries citing papers authored by Jennifer J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer J. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer J. Brown. A scholar is included among the top collaborators of Jennifer J. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer J. Brown. Jennifer J. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 21
2 7
3 5
4 9
5 5
6 16
7 8
8 26
9 8
10 1
11 3
12 87
13 73
14 64
15 24
16 96
17 24
18 37
19 48
20 25

About Jennifer J. Brown

Jennifer J. Brown is a scholar working on Endocrinology, Oncology and Otorhinolaryngology, having authored 21 papers that have together received 590 indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), Colorectal Cancer Screening and Detection (4 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Endocrinology (294 citations), Molecular Medicine (93 citations) and Food Science (82 citations). Jennifer J. Brown has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include James R. Johnson, Thomas A. Russo, Venkatesan Sundaresan, James R. Johnson, Ann E. Stapleton, Ulrike B. Carlino, Christopher K. Rode, Craig A. Bloch, Carl F. Marrs and Lixin Zhang. Their work appears in journals such as Journal of Clinical Oncology, Genetics and The Journal of Infectious Diseases.

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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