Michel Heusterspreute

1.2k citations
32 papers · 1.1k · h-index 17

Impact in

Papers in

    • RNA and protein synthesis mechanisms 7
    • DNA Repair Mechanisms 2
    • RNA Interference and Gene Delivery 2
    • Bacterial Genetics and Biotechnology 7
    • Hemoglobinopathies and Related Disorders 3

Michel Heusterspreute

30 papers receiving 999 citations

Peers

Michel Heusterspreute
Comparison fields: 5 of 101
  • Hematology 117
  • Pharmacology 85
  • Genetics 265
  • Molecular Biology 558
  • Endocrinology 41
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Ya‐Lin Sun United States
Nobutaka Nakashima Japan
Assar Bäckman Sweden
David C. Fritzinger United States
James A. Booth United States
James Mwangi China
Murali Dharan Bashyam India
Weili Zheng China
D. Riesenberg Germany
Jean-Baptiste Michel France
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Citations per field
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Citations per year

Countries citing papers authored by Michel Heusterspreute

Since Specialization
Citations

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

Fields of papers citing papers by Michel Heusterspreute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987225
2 1981121
3 200398
4 198574
5 198569
6 199863
7 199951
8 200541
9 198440
10 198734
11 200230
12
Expression of prostate-specific membrane antigen in transitional cell carcinoma of the bladder: prognostic value?
200029
13 198421
14 198721
15 199920
16 198520
17 199516
18 199315
19 201415
20 198713

About Michel Heusterspreute

Michel Heusterspreute is a scholar working on Molecular Biology, Genetics, Ecology, Hematology and Immunology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (6 papers), Hemoglobinopathies and Related Disorders (3 papers), DNA Repair Mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), RNA Interference and Gene Delivery (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Hematology (117 citations), Pharmacology (85 citations), Genetics (265 citations), Molecular Biology (558 citations) and Endocrinology (41 citations). Michel Heusterspreute has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include John Davison, Robert R. Crichton, Jean‐Luc Gala, Nathalie Chevalier, Vinh Ha Thi, Françoise Brunel, Aurel Constant Allabi, Jean‐Pierre Desager, Yves Horsmans and N. Kennedy. Their work appears in journals such as Gene, Clinical Chemistry, British Journal of Clinical Pharmacology, AIDS and Bone Marrow 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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