M. Testi

1.4k citations
58 papers · 1.1k · h-index 19

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

    • T-cell and B-cell Immunology 26
    • Immune Cell Function and Interaction 23
    • Immunotherapy and Immune Responses 13
    • Hematopoietic Stem Cell Transplantation 7

M. Testi

54 papers receiving 1.1k citations

Peers

M. Testi
Comparison fields: 5 of 64
  • Hematology 464
  • Genetics 208
  • Immunology 259
  • Transplantation 32
  • Oncology 231
Replace Yoshihisa Nagatoshi with:
Yoshihisa Nagatoshi Japan
Stephen J. Forman United States
Roberta H. Adams United States
Irene Cavattoni Italy
Gergely Kriván Hungary
Charlotte Jubert France
Eugenia Giraldi Italy
Tohru Iseki Japan
Leonor Senent Spain
Ken Tabuchi Japan
M. Testi relative to Yoshihisa Nagatoshi Japan Yoshihisa Nagatoshi's profile →
Citations per field
00.5×2×2.7×
Yoshihisa Nagatoshi · 1×
Citations per year

Countries citing papers authored by M. Testi

Since Specialization
Citations

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

Fields of papers citing papers by M. Testi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012278
2 201087
3 200654
4 201050
5 200950
6 200837
7 201436
8 201935
9 201533
10 200032
11 201431
12 201231
13 200930
14 201128
15 201424
16 201123
17 201521
18 201320
19 201219
20 200115

About M. Testi

M. Testi is a scholar working on Immunology, Hematology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (26 papers), Immune Cell Function and Interaction (23 papers), Immunotherapy and Immune Responses (13 papers), Hematopoietic Stem Cell Transplantation (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Hematology (464 citations), Genetics (208 citations), Immunology (259 citations), Transplantation (32 citations) and Oncology (231 citations). M. Testi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Marco Andreani, Giuseppe Tiziano Lucarelli, Mariarosa Battarra, Maria Troiano, Antonino Carbone, Annunziata Gloghini, Antonella Aiello, Javid Gaziev, Pietro Sodani and Andrea Bontadini. Their work appears in journals such as Bone Marrow Transplantation, Haematologica, Journal of Thoracic Oncology, Human Immunology and Journal of Clinical Oncology.

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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