David Neff

39 papers receiving 1.4k citations

Hit Papers

Variation inPCSK9andHMGCRand Risk of Cardiovascular Disease and Diabetes 2016 · 491 citations
4910+3+6Years since publication100200300400

Peers

David Neff
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 394
  • Surgery 938
  • Cancer Research 233
  • Cardiology and Cardiovascular Medicine 269
  • Economics and Econometrics 299
Replace Min‐Ji Charng with:
Min‐Ji Charng Taiwan
Anja Vogt Germany
Jonathan L. Isaacsohn United States
Emil M. deGoma United States
Teik Chye Ooi Canada
Jordan Fulcher Australia
Christine McCrary Sisk United States
José Luis Zamorano Spain
Mary Jane Geiger United States
Mahfouz El Shahawy United States
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Citations per field
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Min‐Ji Charng · 1×
Citations per year

Countries citing papers authored by David Neff

Since Specialization
Citations

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

Fields of papers citing papers by David Neff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Variation inPCSK9andHMGCRand Risk of Cardiovascular Disease and Diabetes
Hit paper breakdown →
2016491
2 2019231
3 2008118
4 201279
5 201341
6 201340
7 201132
8 201331
9 201330
10 201324
11 201123
12 200723
13 201022
14
Interexaminer study of palpation in detecting location of spinal segmental dysfunction.
198321
15 201521
16 202320
17 201116
18 201014
19 201314
20 201413

About David Neff

David Neff is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Economics and Econometrics, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (28 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Cancer, Lipids, and Metabolism (8 papers), Pharmaceutical Economics and Policy (8 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (394 citations), Surgery (938 citations), Cancer Research (233 citations), Cardiology and Cardiovascular Medicine (269 citations) and Economics and Econometrics (299 citations). David Neff has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Joanne E. Tomassini, Brian A. Ference, Alberico L. Catapano, Jennifer G. Robinson, Szilárd Vörös, Robert P. Giugliano, Robert D. Brook, M. John Chapman, George Davey Smith and Sergio Fazio. Their work appears in journals such as Journal of clinical lipidology, Journal of Cardiovascular Magnetic Resonance, Atherosclerosis, Journal of the American College of Cardiology and The Journal of the American Osteopathic Association.

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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