J Cahn

3.1k citations
76 papers · 1.8k · h-index 23

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%

Papers in

    • Hematopoietic Stem Cell Transplantation 39
    • Acute Myeloid Leukemia Research 16
    • Chronic Myeloid Leukemia Treatments 13
    • Multiple Myeloma Research and Treatments 6

J Cahn

72 papers receiving 1.7k citations

Peers

J Cahn
Comparison fields: 5 of 91
  • Hematology 1.2k
  • Genetics 204
  • Oncology 420
  • Immunology 334
  • Transplantation 39
Replace PJ Tutschka with:
PJ Tutschka United States
Gunnar Öberg Sweden
Tapani Ruutu Finland
Ken Bradstock Australia
Hee‐Je Kim South Korea
M Carotenuto Italy
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J Cahn relative to PJ Tutschka United States PJ Tutschka's profile →
Citations per field
00.5×1.7×
PJ Tutschka · 1×
Citations per year

Countries citing papers authored by J Cahn

Since Specialization
Citations

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

Fields of papers citing papers by J Cahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997138
2 1990133
3 1998124
4 1995112
5 2003104
6 1997102
7 200496
8 199688
9 199559
10
Cytomegalovirus interstitial pneumonia in autologous bone marrow transplant recipients. Infectious Disease Working Party of the European Group for Bone Marrow Transplantation.
199455
11 200345
12 198739
13 200239
14 199933
15 200533
16 199729
17 200428
18 199427
19 200126
20 200524

About J Cahn

J Cahn is a scholar working on Hematology, Oncology, Immunology, Genetics and Pathology and Forensic Medicine, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (39 papers), Acute Myeloid Leukemia Research (16 papers), Chronic Myeloid Leukemia Treatments (13 papers), Chronic Lymphocytic Leukemia Research (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Acute Lymphoblastic Leukemia research (6 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (204 citations), Oncology (420 citations), Immunology (334 citations) and Transplantation (39 citations). J Cahn has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include P Hervé, Pierre Bordigoni, Didier Blaise, Nöel Milpied, Norbert Ifrah, E Racadot, Josy Reiffers, Vernant Jp, Éric Deconinck and Myriam Labopin. Their work appears in journals such as Blood, Bone Marrow Transplantation, British Journal of Haematology, Leukemia and Immunological Reviews.

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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