María Suárez‐Lledó

1.5k total citations
52 papers, 578 citations indexed

About

María Suárez‐Lledó is a scholar working on Hematology, Oncology and Epidemiology. According to data from OpenAlex, María Suárez‐Lledó has authored 52 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 23 papers in Oncology and 16 papers in Epidemiology. Recurrent topics in María Suárez‐Lledó's work include Hematopoietic Stem Cell Transplantation (22 papers), Neutropenia and Cancer Infections (9 papers) and Renal Transplantation Outcomes and Treatments (8 papers). María Suárez‐Lledó is often cited by papers focused on Hematopoietic Stem Cell Transplantation (22 papers), Neutropenia and Cancer Infections (9 papers) and Renal Transplantation Outcomes and Treatments (8 papers). María Suárez‐Lledó collaborates with scholars based in Spain, United States and France. María Suárez‐Lledó's co-authors include Montserrat Rovira, Carmen Martı́nez, Francesc Fernández‐Avilés, Álvaro Urbano-Ispizúa, Laura Rosiñol, Gonzalo Gutiérrez, Àlex Soriano, Francesc Marco, Josep Mensa and José Antonio Martínez and has published in prestigious journals such as Blood, PLoS ONE and Neurology.

In The Last Decade

María Suárez‐Lledó

44 papers receiving 574 citations

Peers

María Suárez‐Lledó
Comparison fields: 5 of 74
  • Oncology 237
  • Hematology 217
  • Epidemiology 129
  • Immunology 92
  • Genetics 88
Replace Colombe Saillard with:
Colombe Saillard France
Masahiro Ashizawa Japan
Yu Akahoshi Japan
Salman Naseem Adil Pakistan
Marcos J. de Lima United States
Enrico Morello Italy
Kyle McBride Italy
Antonio Spadea Italy
Marco Montanaro Italy
Federica Galaverna Italy
Colombe Saillard France View profile →
Citations per field, relative to María Suárez‐Lledó
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Citations per year, relative to María Suárez‐Lledó
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Countries citing papers authored by María Suárez‐Lledó

Since Specialization
Citations

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

Fields of papers citing papers by María Suárez‐Lledó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Suárez‐Lledó. 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 María Suárez‐Lledó. The network helps show where María Suárez‐Lledó may publish in the future.

Co-authorship network of co-authors of María Suárez‐Lledó

This figure shows the co-authorship network connecting the top 25 collaborators of María Suárez‐Lledó. A scholar is included among the top collaborators of María Suárez‐Lledó 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 María Suárez‐Lledó. María Suárez‐Lledó 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
# Work Indexed citations
1 0
2 0
3 2
4 1
5 1
6 4
7 1
8 5
9 3
10 0
11 1
12 22
13 5
14 19
15 5
16 17
17 18
18 29
19 16
20 114

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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