M.L. Agüera

1.3k citations
48 papers · 560 indexed · h-index 13

Impact in

Papers in

M.L. Agüera

44 papers receiving 543 citations

Peers

M.L. Agüera
Comparison fields: 5 of 77
  • Transplantation 169
  • Nephrology 75
  • Obstetrics and Gynecology 45
  • Public Health, Environmental and Occupational Health 159
  • Immunology 106
Replace Mark Hathaway with:
Mark Hathaway United Kingdom
Makoto Tsujita Japan
Seiichiro Shishido Japan
Santosh Potdar United States
G Sødal Norway
Jun B. Lee United States
Marisa Mir Spain
Kiil Park South Korea
Friederike Bachmann Germany
J D Pirsch United States
M.L. Agüera relative to Mark Hathaway United Kingdom Mark Hathaway's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.L. Agüera

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Agüera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Agüera. 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 M.L. Agüera. The network helps show where M.L. Agüera may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 20221
3 20210
4 20191
5
Avances en inmunología del trasplante renal
20181
6 20182
7 20181
8 20187
9 20170
10 201611
11 20161
12 201520
13 201529
14 20154
15 20155
16 20133
17 20104
18 20079
19 200625
20
Hemorragia fetomaterna masiva
20002

About M.L. Agüera

M.L. Agüera is a scholar working on Transplantation, Nephrology, Public Health, Environmental and Occupational Health, Pharmacy and Pediatrics, Perinatology and Child Health, having authored 48 papers that have together received 560 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (23 papers), Organ Transplantation Techniques and Outcomes (8 papers), Organ Donation and Transplantation (7 papers), Renal Diseases and Glomerulopathies (5 papers), Pregnancy and Medication Impact (5 papers), Transplantation: Methods and Outcomes (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Transplantation (169 citations), Nephrology (75 citations), Obstetrics and Gynecology (45 citations), Public Health, Environmental and Occupational Health (159 citations) and Immunology (106 citations). M.L. Agüera has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include Alberto Rodríguez‐Benot, Pedro Aljama, María Dolores Navarro, M. López-Andréu, Philippe Extermann, Thierry Berney, Daniel Del Castillo, Olivier Irion, Sagrario Soriano and M. Antonia Álvarez-Lara. Their work appears in journals such as PLoS ONE, Transplantation, Transplantation Proceedings, Journal of Nephrology and Frontiers in Immunology.

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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