Jennifer G. Brown

760 citations
17 papers · 355 indexed · h-index 8
Topics
Monoclonal and Polyclonal Antibodies Research (5 papers)Transgenic Plants and Applications (4 papers)Toxin Mechanisms and Immunotoxins (4 papers)

In The Last Decade

Jennifer G. Brown

15 papers receiving 338 citations

Peers

Jennifer G. Brown
Comparison fields: 5 of 50
  • Molecular Biology 183
  • Oncology 146
  • Immunology 144
  • Radiology, Nuclear Medicine and Imaging 92
  • Biotechnology 57
Replace Claudia Luckner‐Minden with:
Claudia Luckner‐Minden Germany
Sonia Voiculescu United States
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E Turpin France
Christie Mortales United States
Hubertus Stockinger Germany
Michelle A. Lum United States
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Jennifer G. Brown relative to Claudia Luckner‐Minden Germany Claudia Luckner‐Minden's profile →
Citations per field
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Claudia Luckner‐Minden · 1×
Citations per year

Countries citing papers authored by Jennifer G. Brown

Since Specialization
Citations

This map shows the geographic impact of Jennifer G. 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 G. 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 G. Brown more than expected).

Fields of papers citing papers by Jennifer G. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer G. Brown. A scholar is included among the top collaborators of Jennifer G. 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 G. Brown. Jennifer G. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 1
3 0
4 1
5 5
6 9
7 59
8 28
9 3
10 4
11 27
12 19
13 14
14 63
15
Pre-clinical safety assessment of VB4-845, an EpCAM binding immunoconjugate
1
16 116
17
Immunogenicity and viability of alpha-class II immunotoxin-treated pig islet cells.
2

About Jennifer G. Brown

Jennifer G. Brown is a scholar working on Biotechnology, Biological Psychiatry and Immunology, having authored 17 papers that have together received 355 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Transgenic Plants and Applications (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). The work is most often cited by research in Immunology (144 citations), Biotechnology (57 citations) and Oncology (146 citations). Jennifer G. Brown has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jeannick Cizeau, Glen C. MacDonald, Joycelyn Entwistle, Spencer B. Gibson, Shashirekha Shetty, Bonnie A. Graham, Gary A. Harding, Xiaojie Hu, Ezio Bonvini and Jeffrey L. Nordstrom. Their work appears in journals such as Journal of Clinical Oncology, Blood and Molecular and Cellular Biology.

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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