Jan Philippé

9.2k citations
206 papers · 6.0k indexed · 1 hit paper · h-index 45

Jan Philippé

196 papers receiving 5.8k citations

Hit Papers

Glucagon-like peptide I stimulates insulin gene expressio...7001987202620002013200400600

Peers

Jan Philippé
Comparison fields: 5 of 139
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Surgery 1.9k
  • Endocrine and Autonomic Systems 277
  • Hematology 449
  • Genetics 380
Replace Masayoshi Shichiri with:
Masayoshi Shichiri Japan
Yoshifusa Aizawa Japan
Seiichiro Tarui Japan
Karin Bornfeldt United States
Yoshiji Yamada Japan
Philippe Gual France
Stefano Milani Italy
J Brett United States
Masatomo Mori Japan
Gunilla Olivecrona Sweden
Jan Philippé relative to Masayoshi Shichiri Japan Masayoshi Shichiri's profile →
Citations per field
00.5×2.6×
Masayoshi Shichiri · 1×
Citations per year

Countries citing papers authored by Jan Philippé

Since Specialization
Citations

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

Fields of papers citing papers by Jan Philippé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202212
2 20222
3 20225
4 20224
5 202114
6 202113
7 201938
8 201725
9 20155
10 20146
11 200960
12 200968
13 2006120
14 20061
15 200625
16
Correlation of ZAP-70 analysed by flow cytometry with IgVH mutational status in B-CLL
20041
17
99mTc-MIBI imaging in paediatric neuroblastoma and ganglioneuroma and its relation to P-glycoprotein
19991
18
Immunocytochemical and flow cytometric analysis of P-glycoprotein in childhood ALL
19960
19 199610
20 199575

About Jan Philippé

Jan Philippé is a scholar working on Genetics, Hematology and Immunology, having authored 206 papers that have together received 6.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (32 papers), Chronic Lymphocytic Leukemia Research (22 papers), Lymphoma Diagnosis and Treatment (18 papers), Acute Lymphoblastic Leukemia research (17 papers), Diabetes and associated disorders (14 papers), Immunodeficiency and Autoimmune Disorders (13 papers), Acute Myeloid Leukemia Research (12 papers) and Diabetes Treatment and Management (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Surgery (1.9k citations) and Endocrine and Autonomic Systems (277 citations). Jan Philippé has collaborated with scholars based in Belgium, Switzerland and United States. Frequent co-authors include Joel F. Habener, Daniel J. Drucker, Svetlana Mojsov, Fritz Offner, Geert Leroux‐Roels, Francis Colardyn, An S. De Vriese, Bruno Verhasselt, Norbert Lameire and Raymond Vanholder. Their work appears in journals such as Blood, Clinical Chemistry, Diabetologia, PLoS ONE and Frontiers in Immunology.

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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