P L'esperance

464 citations
13 papers · 365 · h-index 9

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Immunodeficiency and Autoimmune Disorders
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Blood disorders and treatments 6
    • Diabetes and associated disorders 1
    • Immunodeficiency and Autoimmune Disorders 6
    • T-cell and B-cell Immunology 2
    • Immune Response and Inflammation 2

P L'esperance

13 papers receiving 287 citations

Peers

P L'esperance
Comparison fields: 5 of 58
  • Hematology 131
  • Immunology 172
  • Transplantation 13
  • Genetics 48
  • Genetics 84
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Citations per field
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Citations per year

Countries citing papers authored by P L'esperance

Since Specialization
Citations

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

Fields of papers citing papers by P L'esperance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P L'esperance. 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 P L'esperance. The network helps show where P L'esperance may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1977133
2
In vitro differentiation of human marrow cells into T lymphocytes by thymic extracts using the rosette technique.
197540
3
Chronic mucocutaneous candidiasis with macrophage dysfunction, a plasma inhibitor, and co-existent aplastic anemia.
197537
4 197331
5 197429
6 197726
7 197519
8 197418
9 197214
10
Congenital neutropenia: impaired maturation with diminished stem-cell input.
19758
11
In vitro studies on human T-lymphocyte differentiation in primary immunodeficiency diseases.
19745
12 19774
13
[Apropos of a case of portal hypertension due to arteriovenous fistula joining the splenic artery and splenic vein].
19681

About P L'esperance

P L'esperance is a scholar working on Genetics, Immunology, Oncology, Epidemiology and Infectious Diseases, having authored 13 papers that have together received 365 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (6 papers), Blood disorders and treatments (6 papers), Neutropenia and Cancer Infections (4 papers), T-cell and B-cell Immunology (2 papers), Immune Response and Inflammation (2 papers), Parasites and Host Interactions (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Hematology (131 citations), Immunology (172 citations), Transplantation (13 citations), Genetics (48 citations) and Genetics (84 citations). P L'esperance has collaborated with scholars based in United States and Denmark. Frequent co-authors include Robert A. Good, G S Incefy, Dorothea Zucker‐Franklin, Good Ra, Elizabeth M. Smithwick, Frederick P. Siegal, Richard D. Brunning, G Grusky, John A. Hansen and Bo Dupont. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood, Immunogenetics, New England Journal of Medicine and The Lancet.

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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