David Neff

39 papers receiving 1.4k citations

David Neff's Hit Papers

Mendelian Randomization Study of ACLY and Cardiovascular Disease 2019 · 238 citations
2380+3+6Years since publication100200300400500

Peers

David Neff
Comparison fields: 5 of 103
  • Surgery 802
  • Endocrinology, Diabetes and Metabolism 232
  • Cancer Research 137
  • Cardiology and Cardiovascular Medicine 166
  • Nephrology 53
Replace Anja Vogt with:
Anja Vogt Germany
Jordan Fulcher Australia
Christine McCrary Sisk United States
José Luis Zamorano Spain
Michael Stepanavage United States
Rebecca Bakker‐Arkema United States
Aditi Sapre United States
Željko Reiner Croatia
Anho Liem Netherlands
Mahfouz El Shahawy United States
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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 →
2016512
2
Mendelian Randomization Study of ACLY and Cardiovascular Disease
Hit paper breakdown →
2019238
3 2008122
4 201280
5 201343
6 201342
7 201133
8 201332
9 201330
10 201124
11 201324
12 200724
13 201522
14 202322
15 201022
16
Interexaminer study of palpation in detecting location of spinal segmental dysfunction.
198321
17 201116
18 201314
19 201014
20 201314

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 (26 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Cancer, Lipids, and Metabolism (6 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Pharmaceutical Economics and Policy (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Surgery (802 citations), Endocrinology, Diabetes and Metabolism (232 citations), Cancer Research (137 citations), Cardiology and Cardiovascular Medicine (166 citations) and Nephrology (53 citations). David Neff has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Joanne E. Tomassini, Alberico L. Catapano, Brian A. Ference, Jennifer G. Robinson, George Davey Smith, Robert D. Brook, Robert P. Giugliano, Szilárd Vörös, Marc S. Sabatine and M. John Chapman. Their work appears in journals such as Journal of clinical lipidology, Journal of Cardiovascular Magnetic Resonance, Journal of the American College of Cardiology, Atherosclerosis 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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