Ruth M. de Tute

2.6k citations
44 papers · 842 indexed · h-index 11
  • Hematology top 1%
    • Multiple Myeloma Research and Treatments 31
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 15
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 6
  • Oncology top 10%
    • Cancer Treatment and Pharmacology 8
    • Peptidase Inhibition and Analysis 6
    • Lymphoma Diagnosis and Treatment 10
    • Protein Degradation and Inhibitors 18
    • Immunodeficiency and Autoimmune Disorders 6

Ruth M. de Tute

39 papers receiving 827 citations

Peers

Ruth M. de Tute
Comparison fields: 5 of 39
  • Hematology 660
  • Genetics 268
  • Oncology 346
  • Pathology and Forensic Medicine 185
  • Molecular Biology 501
Replace Guillermo Martín–Núñez with:
Guillermo Martín–Núñez Spain
Josefina Galende Spain
JA Lust United States
Shuhui Deng China
Olga Salamero Spain
Tommasina Guglielmelli Italy
José María Alonso Spain
Javier Fernández‐Calvo Spain
Nisha S. Joseph United States
Xavier Calvo Spain
Ruth M. de Tute relative to Guillermo Martín–Núñez Spain Guillermo Martín–Núñez's profile →
Citations per field
00.5×3.3×
Guillermo Martín–Núñez · 1×
Citations per year

Countries citing papers authored by Ruth M. de Tute

Since Specialization
Citations

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

Fields of papers citing papers by Ruth M. de Tute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth M. de Tute. 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 Ruth M. de Tute. The network helps show where Ruth M. de Tute may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20240
5 202354
6 202240
7 20222
8 20218
9 20215
10 20191
11 20184
12 2015114
13 201430
14 20141
15 20141
16 201313
17 2012119
18 201119
19 201130
20 20061

About Ruth M. de Tute

Ruth M. de Tute is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 44 papers that have together received 842 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (31 papers), Protein Degradation and Inhibitors (18 papers), Chronic Lymphocytic Leukemia Research (15 papers), Lymphoma Diagnosis and Treatment (10 papers), Cancer Treatment and Pharmacology (8 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Hematology (660 citations), Genetics (268 citations) and Oncology (346 citations). Ruth M. de Tute has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Roger G. Owen, Andy C. Rawstron, Mark T. Drayson, Gordon Cook, Graham Jackson, Gareth J. Morgan, Faith E. Davies, Walter M. Gregory, Sue Bell and J. A. Child. Their work appears in journals such as Journal of Clinical Oncology, Blood and Annals of the Rheumatic Diseases.

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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