Joan Uehlinger

1.1k citations
27 papers · 396 · h-index 12

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Blood groups and transfusion 14
    • Acute Myeloid Leukemia Research 3
    • Hemoglobinopathies and Related Disorders 8

Joan Uehlinger

25 papers receiving 382 citations

Peers

Joan Uehlinger
Comparison fields: 5 of 47
  • Hematology 266
  • Transplantation 60
  • Genetics 145
  • Physiology 160
  • Nephrology 36
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F Arriaga Spain
Phil Darbyshire United Kingdom
Paola Marenco Italy
M. Congiu Italy
G. R. Hazlehurst United Kingdom
S. Fairhead United Kingdom
David Leverett United Kingdom
Koichiro Ikuta Japan
Nahed El Kassar United States
Francisco Aranha Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Joan Uehlinger

Since Specialization
Citations

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

Fields of papers citing papers by Joan Uehlinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200464
2 201352
3 201434
4 200331
5 199126
6 199825
7 200824
8 199923
9 199916
10 202016
11 200212
12 198612
13 200811
14 202110
15 19999
16 20147
17 20147
18 20216
19 20033
20 20212

About Joan Uehlinger

Joan Uehlinger is a scholar working on Hematology, Genetics, Physiology, Pediatrics, Perinatology and Child Health and Genetics, having authored 27 papers that have together received 396 indexed citations. Recurring topics across this work include Blood groups and transfusion (14 papers), Hemoglobinopathies and Related Disorders (8 papers), Erythrocyte Function and Pathophysiology (8 papers), Acute Myeloid Leukemia Research (3 papers), Neonatal Health and Biochemistry (3 papers), Complement system in diseases (2 papers), Blood transfusion and management (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hematology (266 citations), Transplantation (60 citations), Genetics (145 citations), Physiology (160 citations) and Nephrology (36 citations). Joan Uehlinger has collaborated with scholars based in United States and Brazil. Frequent co-authors include K. Mohandas, Ljiljana V. Vasović, Fouad N. Boctor, Deepa Manwani, Annie Strupp, Nahed M. Ali, Patricia M. McDonough, Daniel Glicklich, Sujit Sheth and Karina Yazdanbakhsh. Their work appears in journals such as Transfusion, Cells, Blood, Vox Sanguinis and The Journal of Heart and Lung Transplantation.

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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