Jeremy Beauchamp

1.0k citations
23 papers · 822 indexed · h-index 16
Topics
Drug Transport and Resistance Mechanisms (4 papers)Hypothalamic control of reproductive hormones (3 papers)Peroxisome Proliferator-Activated Receptors (3 papers)

In The Last Decade

Jeremy Beauchamp

23 papers receiving 806 citations

Peers

Jeremy Beauchamp
Comparison fields: 5 of 99
  • Molecular Biology 293
  • Plant Science 139
  • Genetics 108
  • Reproductive Medicine 101
  • Oncology 84
Replace Fang‐Jen S. Lee with:
Fang‐Jen S. Lee Taiwan
Jimmy R. Thériault United States
Christine Kaufmann Germany
D. Čechová Czechia
Gary Loughran Ireland
Tsuneyoshi Horigome Japan
Pieter‐Jan De Bock Belgium
C. J. Bruton United Kingdom
Amy Kwok Hong Kong
Jeremy Beauchamp relative to Fang‐Jen S. Lee Taiwan Fang‐Jen S. Lee's profile →
Citations per field
00.5×1.5×2.3×
Fang‐Jen S. Lee · 1×
Citations per year

Countries citing papers authored by Jeremy Beauchamp

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Beauchamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Beauchamp

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Beauchamp. A scholar is included among the top collaborators of Jeremy Beauchamp 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 Jeremy Beauchamp. Jeremy Beauchamp 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 8
2
A General Neural Architecture for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management.
1
3 102
4 26
5 18
6 48
7 40
8 97
9 51
10 50
11 68
12 33
13 27
14 20
15 5
16 1
17 42
18 11
19 4
20 65

About Jeremy Beauchamp

Jeremy Beauchamp is a scholar working on Reproductive Medicine, Insect Science and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 822 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Hypothalamic control of reproductive hormones (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Equine (32 citations), Aging (23 citations) and Reproductive Medicine (101 citations). Jeremy Beauchamp has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Malcolm W. Kennedy, Neil W. Isaacs, Vivian Blok, Lindsay McDermott, Alan Cooper, John T. Jones, Inhae Ji, Tae H. Ji, Sabine Suire and F. Stewart. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism and Biochemical Journal.

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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