Laura Díaz‐Martín

586 citations
24 papers · 200 indexed · h-index 8

Laura Díaz‐Martín

20 papers receiving 196 citations

Peers

Laura Díaz‐Martín
Comparison fields: 5 of 56
  • Nephrology 110
  • Transplantation 15
  • Statistics and Probability 16
  • Endocrinology, Diabetes and Metabolism 19
  • Hematology 12
Replace Staffan Schön with:
Staffan Schön Sweden
Robin Satanovskij Germany
Shiyuan Miao United States
María Fernanda Slon Roblero Spain
Patrizia Ondei Italy
Peggy W G du Buf-Vereijken Netherlands
Yannick Saingra France
Daan A M J Hollander Netherlands
Matias Trillini Italy
Isabelle Landru France
Laura Díaz‐Martín relative to Staffan Schön Sweden Staffan Schön's profile →
Citations per field
00.5×8.8×
Staffan Schön · 1×
Citations per year

Countries citing papers authored by Laura Díaz‐Martín

Since Specialization
Citations

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

Fields of papers citing papers by Laura Díaz‐Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Díaz‐Martín. 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 Laura Díaz‐Martín. The network helps show where Laura Díaz‐Martín may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20240
4 20240
5 20235
6 20235
7 20231
8 20231
9 202228
10 20221
11 20218
12 20212
13 202110
14 20204
15 20201
16 201911
17 201953
18 20190
19 201810
20 200020

About Laura Díaz‐Martín

Laura Díaz‐Martín is a scholar working on Nephrology, Transplantation, Hematology, Statistics and Probability and Emergency Medicine, having authored 24 papers that have together received 200 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (10 papers), Dialysis and Renal Disease Management (7 papers), Erythropoietin and Anemia Treatment (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Birth, Development, and Health (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Nephrology (110 citations), Transplantation (15 citations), Statistics and Probability (16 citations), Endocrinology, Diabetes and Metabolism (19 citations) and Hematology (12 citations). Laura Díaz‐Martín has collaborated with scholars based in Spain, Sweden and Italy. Frequent co-authors include Esteban Porrini, Sergio Luis‐Lima, Alejandro Jiménez, Armando Torres, Flavio Gaspari, Fabiola Carrara, Maruja Navarro-Díaz, Ana González‐Rinne, Mats Rosenlund and Anthony Louder. Their work appears in journals such as Nephrology Dialysis Transplantation, International Journal of Molecular Sciences, Scientific Reports, ˜The œNephron journals/Nephron journals and Clinical Kidney Journal.

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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