Mar Tormo

7.6k citations
106 papers · 3.1k indexed · h-index 32

Mar Tormo

102 papers receiving 3.1k citations

Peers

Mar Tormo
Comparison fields: 5 of 96
  • Hematology 2.1k
  • Genetics 506
  • Public Health, Environmental and Occupational Health 1.0k
  • Biochemistry 165
  • Oncology 646
Replace Masamitsu Yanada with:
Masamitsu Yanada Japan
Jonathan Kell United Kingdom
Maria Concetta Petti Italy
Shuichi Miyawaki Japan
Sally Killick United Kingdom
Claude Gardin France
GL Phillips Canada
Ian M. Franklin United Kingdom
Giuliana Alimena Italy
Mojca Jongen‐Lavrencic Netherlands
Mar Tormo relative to Masamitsu Yanada Japan Masamitsu Yanada's profile →
Citations per field
00.5×2.8×
Masamitsu Yanada · 1×
Citations per year

Countries citing papers authored by Mar Tormo

Since Specialization
Citations

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

Fields of papers citing papers by Mar Tormo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20239
4 202119
5 20212
6 20216
7 201960
8 20182
9 201711
10 201717
11 20177
12 201347
13 201316
14 201155
15 201122
16 201014
17 2009128
18 200846
19 200785
20 200324

About Mar Tormo

Mar Tormo is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine and Oncology, having authored 106 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (65 papers), Acute Lymphoblastic Leukemia research (32 papers), Chronic Myeloid Leukemia Treatments (20 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers), Chronic Lymphocytic Leukemia Research (12 papers), Retinoids in leukemia and cellular processes (10 papers), Lymphoma Diagnosis and Treatment (10 papers) and Hematopoietic Stem Cell Transplantation (6 papers). The work is most often cited by research in Hematology (2.1k citations), Genetics (506 citations), Public Health, Environmental and Occupational Health (1.0k citations), Biochemistry (165 citations) and Oncology (646 citations). Mar Tormo has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Salut Brunet, Jordi Esteve, Josep‐María Ribera, Miguel Á. Sanz, Marcos González, Ricardo Parody, Albert Oriol, Juan Bergua, Eloy del Potro and Josep Nomdedéu. Their work appears in journals such as Blood, Leukemia, Cancer, Annals of Hematology and British Journal of Haematology.

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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