Birgit Federmann

1.2k citations
47 papers · 941 · h-index 15

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

Birgit Federmann

46 papers receiving 922 citations

Peers

Birgit Federmann
Comparison fields: 5 of 48
  • Hematology 372
  • Genetics 210
  • Pathology and Forensic Medicine 325
  • Immunology 282
  • Oncology 277
Replace Jacopo Olivieri with:
Jacopo Olivieri Italy
Bachra Choufi France
Dale M. Frank United States
Maricer P. Escalón United States
P Coser Italy
KW Blake United States
Potito Rosario Scalzulli Italy
S N Rabinowe United States
Dolores Caballero Spain
Sylvain Garciaz France
Birgit Federmann relative to Jacopo Olivieri Italy Jacopo Olivieri's profile →
Citations per field
00.5×2×3×3.6×
Jacopo Olivieri · 1×
Citations per year

Countries citing papers authored by Birgit Federmann

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Federmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015169
2 2012102
3 201575
4 201056
5 201055
6 201452
7 201850
8 201736
9 201433
10 201330
11 202027
12 201423
13 201220
14 201420
15 201715
16 201915
17 201915
18 201813
19 201513
20 201713

About Birgit Federmann

Birgit Federmann is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Oncology and Immunology, having authored 47 papers that have together received 941 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (19 papers), Hematopoietic Stem Cell Transplantation (13 papers), Acute Myeloid Leukemia Research (12 papers), Chronic Lymphocytic Leukemia Research (11 papers), CAR-T cell therapy research (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Immune Cell Function and Interaction (5 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Hematology (372 citations), Genetics (210 citations), Pathology and Forensic Medicine (325 citations), Immunology (282 citations) and Oncology (277 citations). Birgit Federmann has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Falko Fend, Leticia Quintanilla‐Martínez, Wolfgang Andreas Bethge, Lothar Kanz, Irina Bonzheim, Janine-Alison Schmidt, Wichard Vogel, Rupert Handgretinger, Julia Steinhilber and Clare M. Faul. Their work appears in journals such as Blood, Annals of Hematology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Haematologica and Bone Marrow 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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