J Elliott

812 citations
42 papers · 617 · h-index 13

Impact in

Papers in

    • Receptor Mechanisms and Signaling 5
    • Pharmacological Receptor Mechanisms and Effects 3
    • Parathyroid Disorders and Treatments 7
    • Renal function and acid-base balance 3

J Elliott

37 papers receiving 562 citations

Peers

J Elliott
Comparison fields: 5 of 127
  • Nephrology 69
  • Cellular and Molecular Neuroscience 164
  • Physiology 83
  • Molecular Biology 223
  • Orthopedics and Sports Medicine 25
Replace Yijun Wang with:
Yijun Wang China
Ruth Whittington United States
Atsushi Ueda Japan
Jacqueline M. Hicks United Kingdom
Young Hwan Lee South Korea
Dong-Jin Park South Korea
Emanuela Cazzaniga Italy
H. R. Ahmad Pakistan
Tomomi Sano Japan
J Elliott relative to Yijun Wang China Yijun Wang's profile →
Citations per field
00.5×6.6×
Yijun Wang · 1×
Citations per year

Countries citing papers authored by J Elliott

Since Specialization
Citations

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

Fields of papers citing papers by J Elliott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993159
2 201193
3 199444
4 195835
5 197032
6 195724
7 195623
8 201323
9 202219
10 195617
11 195616
12 197114
13 202014
14 199511
15 19588
16 19568
17 19917
18 19587
19 19807
20 19886

About J Elliott

J Elliott is a scholar working on Molecular Biology, Nephrology, Cellular and Molecular Neuroscience, Physiology and Infectious Diseases, having authored 42 papers that have together received 617 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (7 papers), Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (5 papers), Electrochemical Analysis and Applications (3 papers), Renal function and acid-base balance (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Adolescent Sexual and Reproductive Health (2 papers). The work is most often cited by research in Nephrology (69 citations), Cellular and Molecular Neuroscience (164 citations), Physiology (83 citations), Molecular Biology (223 citations) and Orthopedics and Sports Medicine (25 citations). J Elliott has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include John R. Traynor, R. V. Talmage, Smith Freeman, Richard G. Compton, Anselm Enders, Sumit Dutta, Subhashish Bhattacharya, Wenxi Yao, Fei Wang and Alex Q. Huang. Their work appears in journals such as Endocrinology, Clinical Chemistry, Experimental Biology and Medicine, Journal of Electroanalytical Chemistry and Canadian Journal of Physiology and Pharmacology.

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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