C. Zurcher

3.4k citations
91 papers · 2.7k indexed · h-index 29

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Hematopoietic Stem Cell Transplantation 12
    • Multiple Myeloma Research and Treatments 5
    • Virus-based gene therapy research 9
    • Mesenchymal stem cell research 7

C. Zurcher

90 papers receiving 2.5k citations

Peers

C. Zurcher
Comparison fields: 5 of 104
  • Hematology 514
  • Immunology 560
  • Oncology 655
  • Radiology, Nuclear Medicine and Imaging 400
  • Cancer Research 219
Replace Takafumi Noma with:
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JoAnn Trial United States
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Katherine Siminovitch Canada
Pekka Kurki Finland
Mitsuhiro Endoh Japan
Hitoshi Kohsaka Japan
C. Zurcher relative to Takafumi Noma Japan Takafumi Noma's profile →
Citations per field
00.5×3.3×
Takafumi Noma · 1×
Citations per year

Countries citing papers authored by C. Zurcher

Since Specialization
Citations

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

Fields of papers citing papers by C. Zurcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200655
2 200471
3 200153
4 199916
5 1998116
6 199515
7 1995100
8 199525
9 199553
10 199525
11 199533
12 199529
13 199311
14 19913
15 19912
16 199037
17 198920
18 198745
19 19812
20 197989

About C. Zurcher

C. Zurcher is a scholar working on Hematology, Genetics, Radiology, Nuclear Medicine and Imaging, Immunology and Immunology and Allergy, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (13 papers), Hematopoietic Stem Cell Transplantation (12 papers), Virus-based gene therapy research (9 papers), Mesenchymal stem cell research (7 papers), T-cell and B-cell Immunology (6 papers), Multiple Myeloma Research and Treatments (5 papers), Animal Virus Infections Studies (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Hematology (514 citations), Immunology (560 citations), Oncology (655 citations), Radiology, Nuclear Medicine and Imaging (400 citations) and Cancer Research (219 citations). C. Zurcher has collaborated with scholars based in Netherlands, United States and North Macedonia. Frequent co-authors include J Rádl, Harm HogenEsch, Marion J. Gijbels, D. W. van Bekkum, H. R. E. Schuit, Peter J. Heidt, D.W. van Bekkum, P. Meera Khan, Ron Smits and Riccardo Fodde. Their work appears in journals such as Radiotherapy and Oncology, International Journal of Cancer, European Journal of Immunology, International Journal of Radiation Oncology*Biology*Physics and 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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