Julia Pingel

1.1k citations
27 papers · 715 · h-index 14

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Blood groups and transfusion

Papers in

    • T-cell and B-cell Immunology 17
    • Immune Cell Function and Interaction 6
    • Hematopoietic Stem Cell Transplantation 15
    • Blood groups and transfusion 2

Julia Pingel

27 papers receiving 638 citations

Peers

Julia Pingel
Comparison fields: 5 of 82
  • Transplantation 153
  • Hematology 291
  • Immunology 437
  • Genetics 39
  • Microbiology 19
Replace Jan A. Hofmann with:
Jan A. Hofmann Germany
Daniel Baier Germany
Irina Böhme Germany
Bianca Schöne Germany
Laëtitia Le Texier Australia
Jacqueline D.H. Anholts Netherlands
Danielle Paixão-Cavalcante United Kingdom
Helene Polin Austria
J. Procter United Kingdom
Eduardo Raimondi Argentina
Julia Pingel relative to Jan A. Hofmann Germany Jan A. Hofmann's profile →
Citations per field
00.5×1.5×1.9×
Jan A. Hofmann · 1×
Citations per year

Countries citing papers authored by Julia Pingel

Since Specialization
Citations

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

Fields of papers citing papers by Julia Pingel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Pingel, 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 Julia Pingel Line = papers co-authored together Julia Pingel 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 2014199
2 201783
3 201256
4 201646
5 201144
6 201843
7 201434
8 201432
9 201626
10 201322
11 201319
12 201218
13 201715
14 201513
15 201011
16 20139
17 20119
18 20118
19 19896
20 20245

About Julia Pingel

Julia Pingel is a scholar working on Immunology, Hematology, Transplantation, Molecular Biology and Genetics, having authored 27 papers that have together received 715 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (17 papers), Hematopoietic Stem Cell Transplantation (15 papers), Renal Transplantation Outcomes and Treatments (13 papers), Immune Cell Function and Interaction (6 papers), Biomedical Ethics and Regulation (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Blood groups and transfusion (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Transplantation (153 citations), Hematology (291 citations), Immunology (437 citations), Genetics (39 citations) and Microbiology (19 citations). Julia Pingel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Alexander H. Schmidt, Jürgen Sauter, Gerhard Ehninger, Jan A. Hofmann, Vinzenz Lange, Irina Böhme, Kathrin Lang, Bianca Schöne, Daniel Baier and Ute V. Solloch. Their work appears in journals such as Human Immunology, BMC Genomics, Bone Marrow Transplantation, HLA and PLoS ONE.

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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