Edward W. Needham

833 citations
18 papers · 660 indexed · h-index 12

Impact in

Papers in

Edward W. Needham

18 papers receiving 632 citations

Peers

Edward W. Needham
Comparison fields: 5 of 56
  • Cardiology and Cardiovascular Medicine 526
  • Endocrinology, Diabetes and Metabolism 324
  • Orthopedics and Sports Medicine 67
  • Pharmacology 62
  • Genetics 102
Replace Raj K. Mattu with:
Raj K. Mattu United Kingdom
Stefan‐Martin Brand‐Herrmann Germany
Alois Saller Italy
Inès Abdesselam France
Laura Viitanen Finland
Anu Kareinen Finland
H J van Rijn Netherlands
D Teale United Kingdom
Guntram Schernthaner Austria
Longyi Zeng China
Edward W. Needham relative to Raj K. Mattu United Kingdom Raj K. Mattu's profile →
Citations per field
00.5×1.5×2.1×
Raj K. Mattu · 1×
Citations per year

Countries citing papers authored by Edward W. Needham

Since Specialization
Citations

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

Fields of papers citing papers by Edward W. Needham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward W. Needham. 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 Edward W. Needham. The network helps show where Edward W. Needham may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200512
2 200429
3 200437
4 200435
5 200417
6 20021
7 200221
8 20019
9 199818
10 1998156
11
Identification of putative beneficial mutations for lipid transport.
199612
12 1995156
13 199412
14 19941
15 19941
16 1994131
17 199211
18 19911

About Edward W. Needham

Edward W. Needham is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology, Pharmacology and Surgery, having authored 18 papers that have together received 660 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Renin-Angiotensin System Studies (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Hormonal Regulation and Hypertension (5 papers), Cardiac Imaging and Diagnostics (3 papers), Acute Myocardial Infarction Research (3 papers) and Apelin-related biomedical research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (526 citations), Endocrinology, Diabetes and Metabolism (324 citations), Orthopedics and Sports Medicine (67 citations), Pharmacology (62 citations) and Genetics (102 citations). Edward W. Needham has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include Raj K. Mattu, D. J. Galton, Adrian Clark, Mark J. Caulfield, J. Stocks, Jasper Trevelyan, William J. McKenna, Aman S. Coonar, Adalena Tsatsopoulou and P C Elwood. Their work appears in journals such as Atherosclerosis, The American Journal of Cardiology, Circulation, Journal of Lipid Research and Cardiology.

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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