Jennifer Jeffreys

734 total citations
10 papers, 608 citations indexed

About

Jennifer Jeffreys is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jennifer Jeffreys has authored 10 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jennifer Jeffreys's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Receptor Mechanisms and Signaling (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Jennifer Jeffreys is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Receptor Mechanisms and Signaling (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Jennifer Jeffreys collaborates with scholars based in United Kingdom, Sri Lanka and United States. Jennifer Jeffreys's co-authors include Jadwiga Furmaniak, Bernard Rees Smith, Tonya Richards, Michele K. Evans, Jane Sanders, Hilde Depraetere, Lakdasa Premawardhana, Angela Kiddie, Ricardo Núñez Miguel and Tom L. Blundell and has published in prestigious journals such as The Lancet, The Journal of Experimental Medicine and Thyroid.

In The Last Decade

Jennifer Jeffreys

10 papers receiving 581 citations

Peers

Jennifer Jeffreys
Comparison fields: 5 of 62
  • Endocrinology, Diabetes and Metabolism 386
  • Molecular Biology 251
  • Radiology, Nuclear Medicine and Imaging 131
  • Pathology and Forensic Medicine 102
  • Genetics 98
Replace Masakazu Akahori with:
Masakazu Akahori Japan
Sandy Laue Germany
Gisele Oler Brazil
Brenda Wallach United Kingdom
Lynn M. Kozma United States
Daiana Vasilcanu Sweden
Thai H. Tran United States
Falko Nagel Germany
B. M. T. Burgering Netherlands
Carla Carter United States
Masakazu Akahori Japan View profile →
Citations per field, relative to Jennifer Jeffreys
Jennifer Jeffreys · 1×
Citations per year, relative to Jennifer Jeffreys
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Countries citing papers authored by Jennifer Jeffreys

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Jeffreys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Jeffreys

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 15
2 12
3 41
4 39
5 49
6 87
7 141
8 93
9 45
10 86

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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