Mercedes Rigla

3.5k citations
82 papers · 2.0k indexed · h-index 25
Topics
Diabetes Management and Research (25 papers)Pancreatic function and diabetes (13 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers)
Partner nations
SpainIsraelDenmark

In The Last Decade

Mercedes Rigla

79 papers receiving 2.0k citations

Peers

Mercedes Rigla
Comparison fields: 5 of 131
  • Endocrinology, Diabetes and Metabolism 969
  • Surgery 544
  • Genetics 319
  • Epidemiology 246
  • General Health Professions 213
Replace Ning Cheung with:
Ning Cheung Singapore
Xuhong Hou China
Katerina Κ. Naka Greece
Gurpreet Singh Wander India
Peter Diem Switzerland
Maurice O’Kane United Kingdom
Christoph Stettler Switzerland
P. McNair Denmark
Jae Hoon Moon South Korea
Mercedes Rigla relative to Ning Cheung Singapore Ning Cheung's profile →
Citations per field
00.5×3.1×
Ning Cheung · 1×
Citations per year

Countries citing papers authored by Mercedes Rigla

Since Specialization
Citations

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

Fields of papers citing papers by Mercedes Rigla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mercedes Rigla

This figure shows the co-authorship network connecting the top 25 collaborators of Mercedes Rigla. A scholar is included among the top collaborators of Mercedes Rigla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mercedes Rigla. Mercedes Rigla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 18
3 12
4 6
5 21
6 9
7 12
8 25
9 21
10 9
11 24
12 15
13 23
14 46
15 230
16
Consenso sobre el uso de la monitorización continua de glucosa
2
17 18
18 41
19 59
20 49

About Mercedes Rigla

Mercedes Rigla is a scholar working on Endocrinology, Diabetes and Metabolism, Health Information Management and Obstetrics and Gynecology, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes Management and Research (25 papers), Pancreatic function and diabetes (13 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (969 citations), Health Information Management (173 citations) and Health Informatics (39 citations). Mercedes Rigla has collaborated with scholars based in Spain, Israel and Denmark. Frequent co-authors include M. Elena Hernando, Assumpta Caixàs, Gema García-Sáez, Alberto de Leiva, Belén Pons, Ana M. Wägner, Enrique J. Gómez Aguilera, Ismael Capel, Antonio Pérez and Jordi Ordóñez‐Llanos. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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