José Nieto

983 citations
25 papers · 641 indexed · h-index 13
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation 11
    • Acute Myeloid Leukemia Research 3
  • Immunology top 10%
    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 4
  • Epidemiology top 10%
    • Cytomegalovirus and herpesvirus research 14
    • Herpesvirus Infections and Treatments 6
    • Diabetes and associated disorders 3
    • Chronic Lymphocytic Leukemia Research 3

José Nieto

25 papers receiving 633 citations

Peers

José Nieto
Comparison fields: 5 of 48
  • Hematology 294
  • Transplantation 41
  • Immunology 229
  • Epidemiology 292
  • Genetics 71
Replace Dilip Panjwani with:
Dilip Panjwani Canada
Prashant Hiwarkar United Kingdom
Chun-Choo Kim South Korea
Xiang‐Yu Zhao China
Aining Sun China
Elke Dammann Germany
Michel Starobinski Switzerland
Suzanne van Dorp Netherlands
Mary Sartor Australia
K Lilleby United States
José Nieto relative to Dilip Panjwani Canada Dilip Panjwani's profile →
Citations per field
00.5×9.2×
Dilip Panjwani · 1×
Citations per year

Countries citing papers authored by José Nieto

Since Specialization
Citations

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

Fields of papers citing papers by José Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20187
2 20174
3 20166
4 201610
5 20156
6 20154
7 201419
8 20135
9 20133
10 20135
11 20121
12 201123
13 201155
14 201036
15 201031
16 200930
17 200934
18 200947
19 200769
20 20018

About José Nieto

José Nieto is a scholar working on Hematology, Immunology and Epidemiology, having authored 25 papers that have together received 641 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (14 papers), Immune Cell Function and Interaction (13 papers), Hematopoietic Stem Cell Transplantation (11 papers), Herpesvirus Infections and Treatments (6 papers), T-cell and B-cell Immunology (4 papers), Acute Myeloid Leukemia Research (3 papers), Diabetes and associated disorders (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (294 citations), Transplantation (41 citations) and Immunology (229 citations). José Nieto has collaborated with scholars based in Spain, Mexico and United Kingdom. Frequent co-authors include Carlos Solano, Rafael de la Cámara, David Navarro, Ana García‐Noblejas, María José Remigia, Josep‐María Ribera, María Ángeles Clari, Isabel Benet, Juan Carlos Hernández‐Boluda and José Luís Piñana.

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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