Leslie E. Silberstein
- Hematology top 0.5%
- Blood groups and transfusion 21
- Hematopoietic Stem Cell Transplantation 18
- Genetics top 0.5%
- Immunology top 0.5%
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 10
- Immune Cell Function and Interaction 9
- Biochemistry top 1%
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 12
-
- Chemokine receptors and signaling 15
-
- Erythrocyte Function and Pathophysiology 12
- Co-authors
- César Nombela‐ArrietaMarek HonczarenkoJerome RitzAleksandra M. GlodekShin‐Young ParkYi LeHongbo R. LuoMarcin Świerkowski
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- United StatesChinaJapan
In The Last Decade
Leslie E. Silberstein
114 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Hematology 1.8k
- Genetics 1.5k
- Immunology 2.8k
- Biochemistry 501
- Immunology and Allergy 346
Countries citing papers authored by Leslie E. Silberstein
This map shows the geographic impact of Leslie E. Silberstein'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 Leslie E. Silberstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie E. Silberstein more than expected).
Fields of papers citing papers by Leslie E. Silberstein
This network shows the impact of papers produced by Leslie E. Silberstein. 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 Leslie E. Silberstein. The network helps show where Leslie E. Silberstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leslie E. Silberstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 18 | |
| 2 | Update on the Cure Sickle Cell Initiative | 2021 | 1 |
| 3 | Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infectionbreakdown → | 2020 | 480 |
| 4 | 2020 | 46 | |
| 5 | 2016 | 67 | |
| 6 | 2014 | 135 | |
| 7 | 2014 | 5 | |
| 8 | 2012 | 160 | |
| 9 | 2012 | 13 | |
| 10 | 2009 | 41 | |
| 11 | 2009 | 32 | |
| 12 | 2005 | 41 | |
| 13 | 2000 | 104 | |
| 14 | 1999 | 5 | |
| 15 | Immunoglobulin gene expression in development and disease | 1995 | 5 |
| 16 | 1995 | 20 | |
| 17 | 1993 | 32 | |
| 18 | 1990 | 42 | |
| 19 | 1989 | 54 | |
| 20 | 1988 | 23 |
About Leslie E. Silberstein
Leslie E. Silberstein is a scholar working on Hematology, Immunology and Allergy and Immunology, having authored 116 papers that have together received 7.9k indexed citations. Recurring topics across this work include Blood groups and transfusion (21 papers), Hematopoietic Stem Cell Transplantation (18 papers), Chemokine receptors and signaling (15 papers), T-cell and B-cell Immunology (13 papers), Erythrocyte Function and Pathophysiology (12 papers), Cell Adhesion Molecules Research (12 papers), Immunotherapy and Immune Responses (10 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (1.5k citations) and Immunology (2.8k citations). Leslie E. Silberstein has collaborated with scholars based in United States, China and Japan. Frequent co-authors include César Nombela‐Arrieta, Marek Honczarenko, Jerome Ritz, Aleksandra M. Glodek, Shin‐Young Park, Yi Le, Hongbo R. Luo, Marcin Świerkowski, Ionita Ghiran and Yuanfu Xu. Their work appears in journals such as Blood, Transfusion, The Journal of Immunology, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.