Leigh Samsel

2.5k citations
45 papers · 1.8k · h-index 26

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 5
    • Blood groups and transfusion 3
    • Acute Myeloid Leukemia Research 3
    • Hemoglobinopathies and Related Disorders 6

Leigh Samsel

45 papers receiving 1.8k citations

Peers

Leigh Samsel
Comparison fields: 5 of 99
  • Geriatrics and Gerontology 100
  • Hematology 325
  • Immunology 577
  • Genetics 232
  • Oncology 379
Replace Miriam Erlacher with:
Miriam Erlacher Germany
Keita Kirito Japan
Nathalie Belhacène France
Rongxiang Han United States
Daniel Wu United States
Kamil R. Kranc United Kingdom
María V. Guijarro United States
Hanibal Bohnenberger Germany
Leigh Samsel relative to Miriam Erlacher Germany Miriam Erlacher's profile →
Citations per field
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Miriam Erlacher · 1×
Citations per year

Countries citing papers authored by Leigh Samsel

Since Specialization
Citations

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

Fields of papers citing papers by Leigh Samsel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009238
2 2011137
3 2010129
4 2003105
5 2010104
6 2010101
7 201598
8 201386
9 200670
10 201470
11 200970
12 201451
13 201047
14 200242
15 199937
16 201936
17 201232
18 201831
19 201131
20 201630

About Leigh Samsel

Leigh Samsel is a scholar working on Hematology, Genetics, Physiology, Molecular Biology and Immunology, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Tuberous Sclerosis Complex Research (4 papers), Blood groups and transfusion (3 papers), Immune Cell Function and Interaction (3 papers), Acute Myeloid Leukemia Research (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Geriatrics and Gerontology (100 citations), Hematology (325 citations), Immunology (577 citations), Genetics (232 citations) and Oncology (379 citations). Leigh Samsel has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include J. Philip McCoy, Richard Childs, Andreas Lundqvist, Philip McCoy, Rosanne Spolski, Warren J. Leonard, Abdul Tawab, Maria Berg, Yong Fan and Mohit Kashyap. Their work appears in journals such as Blood, Cytotherapy, American Journal of Hematology, The Journal of Immunology and Haematologica.

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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