Lora W. Barsky

2.9k citations
39 papers · 2.1k indexed · h-index 27

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 10
    • Acute Myeloid Leukemia Research 4
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 5

Lora W. Barsky

39 papers receiving 2.0k citations

Peers

Lora W. Barsky
Comparison fields: 5 of 109
  • Hematology 419
  • Genetics 340
  • Immunology 531
  • Immunology and Allergy 141
  • Hepatology 112
Replace Antoinette Hatzfeld with:
Antoinette Hatzfeld France
Ursula M. Gehling Germany
Sophia K. Khaldoyanidi United States
Jacques Hatzfeld France
Carlijn Voermans Netherlands
André Gothot Belgium
B Nico Italy
Kent W. Christopherson United States
Giuseppina Bonanno Italy
Stephen J. Szilvassy United States
Lora W. Barsky relative to Antoinette Hatzfeld France Antoinette Hatzfeld's profile →
Citations per field
00.5×5.4×
Antoinette Hatzfeld · 1×
Citations per year

Countries citing papers authored by Lora W. Barsky

Since Specialization
Citations

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

Fields of papers citing papers by Lora W. Barsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lora W. Barsky. 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 Lora W. Barsky. The network helps show where Lora W. Barsky may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201521
2 20133
3 200829
4 200727
5 200729
6 2007103
7 200647
8 200518
9 2005332
10 200533
11 200428
12 200345
13 2002163
14 200238
15 200133
16 200196
17 200017
18 199921
19 199932
20 199894

About Lora W. Barsky

Lora W. Barsky is a scholar working on Hematology, Immunology, Immunology and Allergy, Genetics and Cancer Research, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), T-cell and B-cell Immunology (7 papers), Neonatal Respiratory Health Research (6 papers), Immunotherapy and Immune Responses (5 papers), Acute Myeloid Leukemia Research (4 papers), Mesenchymal stem cell research (4 papers), Cancer-related Molecular Pathways (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Hematology (419 citations), Genetics (340 citations), Immunology (531 citations), Immunology and Allergy (141 citations) and Hepatology (112 citations). Lora W. Barsky has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Kenneth I. Weinberg, Gay M. Crooks, Judy Zhu, David Warburton, Qian‐Lin Hao, Barbara Driscoll, Noboru Mitsuhashi, Gordon D. Wu, Kimberly J. Payne and Hui Zhu. Their work appears in journals such as Blood, American Journal of Physiology-Lung Cellular and Molecular Physiology, The Journal of Immunology, Stem Cells and Journal of Biological Chemistry.

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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