Daniel Fürst

1.3k citations
37 papers · 831 · h-index 14

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 20
    • Immune Cell Function and Interaction 19
    • Immunotherapy and Immune Responses 4
    • Hematopoietic Stem Cell Transplantation 11
    • Blood groups and transfusion 2
    • Chronic Myeloid Leukemia Treatments 2

Daniel Fürst

35 papers receiving 804 citations

Peers

Daniel Fürst
Comparison fields: 5 of 70
  • Transplantation 84
  • Immunology 515
  • Hematology 218
  • Oncology 189
  • Cancer Research 50
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Daniel Fürst relative to Brent H. Koehn United States Brent H. Koehn's profile →
Citations per field
00.5×1.5×1.9×
Brent H. Koehn · 1×
Citations per year

Countries citing papers authored by Daniel Fürst

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fürst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013161
2 2013142
3 201482
4 201559
5 202150
6 201742
7 202132
8 202030
9 201128
10 201226
11 201924
12 201721
13 201718
14 202016
15 201913
16 201712
17 202010
18 201010
19 20199
20 20119

About Daniel Fürst

Daniel Fürst is a scholar working on Immunology, Hematology, Oncology, Transplantation and Molecular Biology, having authored 37 papers that have together received 831 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (19 papers), Hematopoietic Stem Cell Transplantation (11 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Blood groups and transfusion (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Transplantation (84 citations), Immunology (515 citations), Hematology (218 citations), Oncology (189 citations) and Cancer Research (50 citations). Daniel Fürst has collaborated with scholars based in Germany, Iran and United States. Frequent co-authors include Joannis Mytilineos, Hubert Schrezenmeier, Dieter Kabelitz, Ottmar Janßen, Marcus Lettau, Daniela Wesch, Hans‐Heinrich Oberg, Guranda Chitadze, Holger Kalthoff and Alexander Steinle. Their work appears in journals such as Transfusion, Blood, Frontiers in Immunology, Biology of Blood and Marrow Transplantation and Haematologica.

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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