Daniel Fürst

1.2k citations
36 papers · 801 indexed · 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

    • Renal Transplantation Outcomes and Treatments 4
    • T-cell and B-cell Immunology 22
    • Immune Cell Function and Interaction 21
    • Immunotherapy and Immune Responses 5
    • Complement system in diseases 2

Daniel Fürst

35 papers receiving 777 citations

Peers

Daniel Fürst
Comparison fields: 5 of 72
  • Transplantation 101
  • Immunology 551
  • Hematology 237
  • Oncology 204
  • Cancer Research 56
Replace Simon Le Gallou with:
Simon Le Gallou France
Jacopo Mariotti Italy
Kathleen P. Lowler United States
Ryan Flynn United States
Takero Shindo Japan
Thierry Bonnefoix France
Panayotis Kaloyannidis Greece
Christine Appelt Germany
A. D. Hess United States
Aleksandar Obradović United States
Daniel Fürst relative to Simon Le Gallou France Simon Le Gallou's profile →
Citations per field
00.5×2.5×
Simon Le Gallou · 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013157
2 2013138
3 201473
4 201559
5 202148
6 201742
7 202130
8 202029
9 201127
10 201923
11 201223
12 201721
13 201717
14 202016
15 201912
16 201712
17 201010
18 20209
19 20199
20 20119

About Daniel Fürst

Daniel Fürst is a scholar working on Transplantation, Immunology, Hematology, Microbiology and Genetics, having authored 36 papers that have together received 801 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (21 papers), Hematopoietic Stem Cell Transplantation (10 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Blood groups and transfusion (3 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Transplantation (101 citations), Immunology (551 citations), Hematology (237 citations), Oncology (204 citations) and Cancer Research (56 citations). Daniel Fürst has collaborated with scholars based in Germany, Iran and United States. Frequent co-authors include Joannis Mytilineos, Hubert Schrezenmeier, Guranda Chitadze, Hans‐Heinrich Oberg, Daniela Wesch, Dieter Kabelitz, Marcus Lettau, Ottmar Janßen, Chrysanthi Tsamadou and Jaydeep Bhat. Their work appears in journals such as Blood, Frontiers in Immunology, Biology of Blood and Marrow Transplantation, Transfusion 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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