Joseph P. Uberti

4.8k citations
159 papers · 3.0k indexed · h-index 27

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 92
    • Acute Myeloid Leukemia Research 26
    • Multiple Myeloma Research and Treatments 20

Joseph P. Uberti

150 papers receiving 2.9k citations

Peers

Joseph P. Uberti
Comparison fields: 5 of 101
  • Hematology 1.5k
  • Transplantation 242
  • Genetics 762
  • Immunology 803
  • Oncology 871
Replace Francesco Lanza with:
Francesco Lanza Italy
Sally Arai United States
Adrian Goycoolea
Shelly Carter United States
H. Kent Holland United States
Damiano Rondelli United States
Javier Bolaños‐Meade United States
David A. Jacobsohn United States
Taner Demirer Türkiye
Masahiro Tsuchida Japan
Joseph P. Uberti relative to Francesco Lanza Italy Francesco Lanza's profile →
Citations per field
00.5×1.5×
Francesco Lanza · 1×
Citations per year

Countries citing papers authored by Joseph P. Uberti

Since Specialization
Citations

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

Fields of papers citing papers by Joseph P. Uberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph P. Uberti. 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 Joseph P. Uberti. The network helps show where Joseph P. Uberti may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20224
4 20215
5 20214
6 20213
7 20195
8 20174
9 201522
10 201438
11 201332
12 201217
13 201212
14 201229
15 20103
16 20073
17 20071
18 20062
19 200414
20 200292

About Joseph P. Uberti

Joseph P. Uberti is a scholar working on Hematology, Transplantation, Oncology, Genetics and Immunology, having authored 159 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (92 papers), Acute Myeloid Leukemia Research (26 papers), CAR-T cell therapy research (22 papers), Multiple Myeloma Research and Treatments (20 papers), Acute Lymphoblastic Leukemia research (20 papers), Lymphoma Diagnosis and Treatment (19 papers), Polyomavirus and related diseases (16 papers) and Immune Cell Function and Interaction (16 papers). The work is most often cited by research in Hematology (1.5k citations), Transplantation (242 citations), Genetics (762 citations), Immunology (803 citations) and Oncology (871 citations). Joseph P. Uberti has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Voravit Ratanatharathorn, Lois Ayash, Partow Kebriaei, Lawrence G. Lum, Chatchada Karanes, James L.M. Ferrara, Abhinav Deol, C. Reynolds, V. Ratanatharathorn and Ayman O. Soubani. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, American Journal of Hematology and Transplantation and Cellular Therapy.

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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