Matilde Sanchez

11 papers receiving 1.8k citations

Matilde Sanchez's Hit Papers

Randomized Placebo‐Controlled Clinical Trial of Lorcaserin for Weight Loss in Type 2 Diabetes Mellitus: The BLOOM‐DM Study 2012 · 437 citations
4370+5+10Years since publication250500750

Peers

Matilde Sanchez
Comparison fields: 5 of 52
  • Pharmacology 992
  • Endocrine and Autonomic Systems 127
  • Endocrinology, Diabetes and Metabolism 114
  • Pharmacy 13
  • Dermatology 26
Replace Erik Uddman with:
Erik Uddman Sweden
Goldstein Dj United States
Julie Rehné Lundgren Denmark
Jennifer S. ten Kulve Netherlands
Liselotte van Bloemendaal Netherlands
William J. Raum United States
Madhuja Mallick United States
Anna Gavrieli United States
Lucy F. Faulconbridge United States
Martin Fitchet United States
Matilde Sanchez relative to Erik Uddman Sweden Erik Uddman's profile →
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Erik Uddman · 1×
Citations per year

Countries citing papers authored by Matilde Sanchez

Since Specialization
Citations

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

Fields of papers citing papers by Matilde Sanchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Multicenter, Placebo-Controlled Trial of Lorcaserin for Weight Management
Hit paper breakdown →
2010754
2 2011458
3
Randomized Placebo‐Controlled Clinical Trial of Lorcaserin for Weight Loss in Type 2 Diabetes Mellitus: The BLOOM‐DM Study
Hit paper breakdown →
2012437
4 2010122
5 200295
6 201361
7 200439
8 200838
9 201310
10 20177
11 20101

About Matilde Sanchez

Matilde Sanchez is a scholar working on Pharmacology, Dermatology, Statistics and Probability, Experimental and Cognitive Psychology and Rheumatology, having authored 11 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmacology and Obesity Treatment (4 papers), Sleep and related disorders (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Acne and Rosacea Treatments and Effects (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Pharmacology (992 citations), Endocrine and Autonomic Systems (127 citations), Endocrinology, Diabetes and Metabolism (114 citations), Pharmacy (13 citations) and Dermatology (26 citations). Matilde Sanchez has collaborated with scholars based in United States and Argentina. Frequent co-authors include Christen M. Anderson, Steven R. Smith, William R Shanahan, Neil J. Weissman, Meredith C. Fidler, Emil Chuang, Harold Edward Bays, Jinkun Zhang, Patrick Mahlen O'Neil and Corby K. Martin. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Obesity, Journal of the American Academy of Dermatology, Statistics in Biopharmaceutical Research and Clinical Therapeutics.

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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