Dan Lender

681 citations
10 papers · 496 · h-index 8

Impact in

Papers in

Dan Lender

9 papers receiving 469 citations

Peers

Dan Lender
Comparison fields: 5 of 86
  • Applied Psychology 78
  • Family Practice 30
  • Endocrinology, Diabetes and Metabolism 224
  • General Health Professions 284
  • Health Information Management 44
Replace Ananth Samith Shetty with:
Ananth Samith Shetty India
Yuan Wu China
Dominique Bird Australia
Xianchao Xiao China
Sundaram Selvam India
Petra Povalej Slovenia
Roy Harper United Kingdom
Anna‐Leena Vuorinen Finland
Amy Harris United States
Dan Lender relative to Ananth Samith Shetty India Ananth Samith Shetty's profile →
Citations per field
00.5×1.6×
Ananth Samith Shetty · 1×
Citations per year

Countries citing papers authored by Dan Lender

Since Specialization
Citations

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

Fields of papers citing papers by Dan Lender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2008316
2 200955
3 199740
4 199624
5 201119
6 200617
7 199612
8 20149
9 19933
10 20251

About Dan Lender

Dan Lender is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions, Surgery, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 496 indexed citations. Recurring topics across this work include Diabetes Management and Research (4 papers), Diabetes Management and Education (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Treatment and Management (2 papers), Pharmacology and Obesity Treatment (2 papers), Mobile Health and mHealth Applications (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper) and Patient-Provider Communication in Healthcare (1 paper). The work is most often cited by research in Applied Psychology (78 citations), Family Practice (30 citations), Endocrinology, Diabetes and Metabolism (224 citations), General Health Professions (284 citations) and Health Information Management (44 citations). Dan Lender has collaborated with scholars based in United States and Israel. Frequent co-authors include Charlene C. Quinn, Ann L. Gruber‐Baldini, James M. Minor, Carlos Arauz-Pacheco, Philip Raskin, Beverley Adams‐Huet, Michelle Shardell, Malinda Peeples, Michael L. Terrin and Erik Barr. Their work appears in journals such as Diabetes Technology & Therapeutics, Contemporary Clinical Trials, Diabetic Medicine, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy and American Journal of Hypertension.

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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