Germán Málaga

12.3k citations
113 papers · 1.9k · h-index 25

Impact in

Papers in

Germán Málaga

103 papers receiving 1.9k citations

Peers

Germán Málaga
Comparison fields: 5 of 131
  • Endocrinology, Diabetes and Metabolism 511
  • Emergency Medical Services 94
  • Family Practice 25
  • Parasitology 74
  • Cardiology and Cardiovascular Medicine 197
Replace Jean Joël Bigna with:
Jean Joël Bigna Cameroon
Jobert Richie Nansseu Cameroon
Paul Arora Canada
Siu‐Fai Lui Hong Kong
Philip Greenland United States
Susan E. Sutherland United States
Sue Carr United Kingdom
Jonathan E. Gottlieb United States
Ming‐Yen Lin Taiwan
Nicholas C Chesnaye Netherlands
Germán Málaga relative to Jean Joël Bigna Cameroon Jean Joël Bigna's profile →
Citations per field
00.5×5.9×
Jean Joël Bigna · 1×
Citations per year

Countries citing papers authored by Germán Málaga

Since Specialization
Citations

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

Fields of papers citing papers by Germán Málaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014196
2 2016179
3 2020115
4 200891
5 201175
6 201375
7 201366
8 200957
9 201837
10 201936
11 201633
12 202133
13 201533
14 201631
15 201431
16 201031
17 201430
18 201429
19 201527
20 201627

About Germán Málaga

Germán Málaga is a scholar working on General Health Professions, Endocrinology, Diabetes and Metabolism, Epidemiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 113 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Health and Lifestyle Studies (8 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Acute Ischemic Stroke Management (6 papers), Public Health and Environmental Issues (5 papers), Health and Medical Education (5 papers), Patient-Provider Communication in Healthcare (5 papers) and Primary Care and Health Outcomes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (511 citations), Emergency Medical Services (94 citations), Family Practice (25 citations), Parasitology (74 citations) and Cardiology and Cardiovascular Medicine (197 citations). Germán Málaga has collaborated with scholars based in Peru, United States and United Kingdom. Frequent co-authors include J. Jaime Miranda, Antonio Bernabé‐Ortiz, Gordon Guyatt, Robert H. Gilman, Jason W. Busse, Per Olav Vandvik, Małgorzata M Bała, Víctor M. Montori, Zahra Sohani and Shanil Ebrahim. Their work appears in journals such as PLoS ONE, Cochrane Database of Systematic Reviews, International Journal of Infectious Diseases, Diabetic Medicine and Journal of Clinical Epidemiology.

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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