Birgit Federmann

1.2k citations
47 papers · 855 · h-index 16

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

Birgit Federmann

46 papers receiving 839 citations

Peers

Birgit Federmann
Comparison fields: 5 of 47
  • Hematology 339
  • Genetics 183
  • Pathology and Forensic Medicine 290
  • Immunology 266
  • Oncology 258
Replace Maricer P. Escalón with:
Maricer P. Escalón United States
K Blake United States
S N Rabinowe United States
P Coser Italy
Vincenzo Pavone Italy
Eulogio Conde Spain
A H Goldstone United Kingdom
Niels Smedegaard Andersen Denmark
Ann E. Hunter United Kingdom
Don Milligan United Kingdom
Birgit Federmann relative to Maricer P. Escalón United States Maricer P. Escalón's profile →
Citations per field
00.5×6.7×
Maricer P. Escalón · 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 2015153
2 201297
3 201567
4 201052
5 201051
6 201450
7 201850
8 201430
9 201730
10 201327
11 202025
12 201421
13 201219
14 201419
15 201915
16 201715
17 201812
18 201911
19 201710
20 201510

About Birgit Federmann

Birgit Federmann is a scholar working on Pathology and Forensic Medicine, Hematology, Oncology, Genetics and Immunology, having authored 47 papers that have together received 855 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Hematopoietic Stem Cell Transplantation (13 papers), Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (5 papers), Acute Lymphoblastic Leukemia research (5 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Hematology (339 citations), Genetics (183 citations), Pathology and Forensic Medicine (290 citations), Immunology (266 citations) and Oncology (258 citations). Birgit Federmann has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Falko Fend, Wolfgang Bethge, Leticia Quintanilla‐Martínez, Lothar Kanz, Irina Bonzheim, J Schmidt, Wichard Vogel, Rupert Handgretinger, Julia Steinhilber and C. 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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