Hanny Fredrix

1.2k citations
24 papers · 1.0k · h-index 18

Impact in

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

Papers in

    • Immunotherapy and Immune Responses 17
    • T-cell and B-cell Immunology 11
    • Immune Cell Function and Interaction 10
    • Hematopoietic Stem Cell Transplantation 10
    • Multiple Myeloma Research and Treatments 2

Hanny Fredrix

24 papers receiving 982 citations

Peers

Hanny Fredrix
Comparison fields: 5 of 53
  • Immunology 766
  • Hematology 277
  • Oncology 391
  • Physiology 23
  • Molecular Biology 246
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Citations per field
00.5×4.6×
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Citations per year

Countries citing papers authored by Hanny Fredrix

Since Specialization
Citations

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

Fields of papers citing papers by Hanny Fredrix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999186
2 2012115
3 199784
4 201363
5 201258
6 200146
7 201845
8 200245
9 201544
10 201642
11 201540
12 200838
13 201237
14 200834
15 201724
16 201122
17 199719
18 200917
19 202015
20 200313

About Hanny Fredrix

Hanny Fredrix is a scholar working on Immunology, Hematology, Oncology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (17 papers), T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (10 papers), Hematopoietic Stem Cell Transplantation (10 papers), CAR-T cell therapy research (9 papers), RNA Interference and Gene Delivery (4 papers), vaccines and immunoinformatics approaches (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Immunology (766 citations), Hematology (277 citations), Oncology (391 citations), Physiology (23 citations) and Molecular Biology (246 citations). Hanny Fredrix has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Harry Dolstra, Nicolaas Schaap, Willemijn Hobo, E. van de Wiel-van Kemenade, Theo M. de Witte, Carl G. Figdor, Frans Maas, Robbert van der Voort, Gosse J. Adema and E. J. B. M. Mensink. Their work appears in journals such as Bone Marrow Transplantation, The Journal of Immunology, Cancer Immunology Immunotherapy, Blood and Journal of Immunotherapy.

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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