Lawrence Blonde

17.3k citations
183 papers · 10.5k · 7 hit papers · h-index 49

Impact in

Papers in

    • Diabetes Treatment and Management 102
    • Diabetes Management and Research 65
    • Diabetes, Cardiovascular Risks, and Lipoproteins 12
    • Diabetes Management and Education 9
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 8
    • Metabolism, Diabetes, and Cancer 18

Lawrence Blonde

176 papers receiving 10.0k citations

Lawrence Blonde's Hit Papers

American Association of Clinical Endocrinology Consensus Statement: Comprehensive Type 2 Diabetes Management Algorithm – 2023 Update 2023 · 225 citations
2250+5+11Years since publication4008001.2k

Peers

Lawrence Blonde
Comparison fields: 5 of 153
  • Endocrinology, Diabetes and Metabolism 7.1k
  • Pharmacology 1.1k
  • Family Practice 107
  • Surgery 1.9k
  • Physiology 715
Replace Alan J. Garber with:
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Lawrence Blonde relative to Alan J. Garber United States Alan J. Garber's profile →
Citations per field
00.5×1.5×1.9×
Alan J. Garber · 1×
Citations per year

Countries citing papers authored by Lawrence Blonde

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Blonde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Liraglutide once a day versus exenatide twice a day for type 2 diabetes: a 26-week randomised, parallel-group, multinational, open-label trial (LEAD-6)
Hit paper breakdown →
20091209
2
Efficacy and Safety of the Human Glucagon-Like Peptide-1 Analog Liraglutide in Combination With Metformin and Thiazolidinedione in Patients With Type 2 Diabetes (LEAD-4 Met+TZD)
Hit paper breakdown →
2009712
3
Interpretation and Impact of Real-World Clinical Data for the Practicing Clinician
Hit paper breakdown →
2018478
4
Consensus Statement by the American Association of Clinical Endocrinologists and American College of Endocrinology on the Comprehensive Type 2 Diabetes Management Algorithm – 2020 Executive Summary
Hit paper breakdown →
2020422
5
Consensus Statement by the American Association of Clinical Endocrinologists and American College of Endocrinology on the Comprehensive Type 2 Diabetes Management Algorithm – 2018 Executive Summary
Hit paper breakdown →
2018378
6 2006355
7
Consensus Statement by the American Association of Clinical Endocrinologists and American College of Endocrinology on the Comprehensive type 2 Diabetes Management Algorithm – 2017 Executive Summary
Hit paper breakdown →
2017331
8 2013320
9 2017289
10 2013241
11
Efficacy and safety of the human glucagon-like peptide-1 analog liraglutide in combination with metformin and thiazolidinedione in patients with type 2 diabetes (LEAD-4 Met + TZD) (Diabetes Care (2009) 32, (1224-1230))
2010240
12 2019227
13
American Association of Clinical Endocrinology Consensus Statement: Comprehensive Type 2 Diabetes Management Algorithm – 2023 Update
Hit paper breakdown →
2023225
14 2004205
15 2009193
16 2013191
17 2015186
18 2015179
19 2013167
20 2010149

About Lawrence Blonde

Lawrence Blonde is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology, Surgery and Epidemiology, having authored 183 papers that have together received 10.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (102 papers), Diabetes Management and Research (65 papers), Metabolism, Diabetes, and Cancer (18 papers), Pharmacology and Obesity Treatment (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Diabetes Management and Education (9 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (8 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.1k citations), Pharmacology (1.1k citations), Family Practice (107 citations), Surgery (1.9k citations) and Physiology (715 citations). Lawrence Blonde has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John B. Buse, Julio Rosenstock, Eduard Montanya, Giorgio Sesti, Wolfgang E. Schmidt, Jason Brett, Marcin Zychma, Guillermo E. Umpierrez, Paul S. Jellinger and Daniel Einhorn. Their work appears in journals such as Diabetes Obesity and Metabolism, Endocrine Practice, Diabetes Care, Advances in Therapy and Diabetes.

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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