E.J.A. Lea

1.6k citations
47 papers · 1.3k · h-index 25

Impact in

Papers in

E.J.A. Lea

45 papers receiving 1.2k citations

Peers

E.J.A. Lea
Comparison fields: 5 of 117
  • Molecular Biology 820
  • Molecular Medicine 53
  • Physiology 44
  • Endocrinology 43
  • Genetics 226
Replace J. Kistler with:
J. Kistler New Zealand
Oliver B. Clarke United States
Ansgar Philippsen Switzerland
Kevin Song United States
C.E. Naylor United Kingdom
Alicja Wawrzynów Poland
Jannette Carey United States
Angela Schmid Germany
Andreas Bernsel Sweden
Menachem Shoham United States
E.J.A. Lea relative to J. Kistler New Zealand J. Kistler's profile →
Citations per field
00.5×
J. Kistler · 1×
Citations per year

Countries citing papers authored by E.J.A. Lea

Since Specialization
Citations

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

Fields of papers citing papers by E.J.A. Lea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.J.A. Lea. 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 E.J.A. Lea. The network helps show where E.J.A. Lea may publish in the future.

Co-authors

The 25 scholars most cited alongside E.J.A. Lea, 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 E.J.A. Lea Line = papers co-authored together E.J.A. Lea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996105
2 199886
3 199468
4 198368
5 197864
6 199861
7 199056
8 196452
9 196949
10 200248
11 199144
12 198543
13 200042
14 200240
15 200636
16 197933
17 199632
18 196332
19 197930
20 200230

About E.J.A. Lea

E.J.A. Lea is a scholar working on Molecular Biology, Biomedical Engineering, Nutrition and Dietetics, Genetics and Cardiology and Cardiovascular Medicine, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (15 papers), Ion channel regulation and function (8 papers), Nanopore and Nanochannel Transport Studies (7 papers), Bacterial Genetics and Biotechnology (5 papers), Fatty Acid Research and Health (5 papers), Electrochemical Analysis and Applications (4 papers), Analytical Chemistry and Sensors (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Molecular Biology (820 citations), Molecular Medicine (53 citations), Physiology (44 citations), Endocrinology (43 citations) and Genetics (226 citations). E.J.A. Lea has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Jeremy H. Lakey, Hamid Mobasheri, Alan P. Dawson, D. A. T. Dick, Jenny Bangham, Sheila Amici-Dargan, P. C. Croghan, J. Mark Sutton, J. Allan Downie and Robert O. Blaustein. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemical Journal, The Journal of Physiology, FEBS Letters and Journal of Theoretical 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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