Paul Hossenlopp
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- Growth Hormone and Insulin-like Growth Factors 19
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 5
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 9
- CRISPR and Genetic Engineering 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Genetics top 5%
- Virus-based gene therapy research 3
- Genetic Syndromes and Imprinting 2
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- Pancreatic function and diabetes 4
- Co-authors
- M BinouxDanielle SeurinS HardouinC LassarreMonireh RoghaniB SegoviaPierre ChambonJoël Couprie
- Partner nations
- FranceUnited StatesMali
In The Last Decade
Paul Hossenlopp
29 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 2.5k
- Cancer Research 555
- Molecular Biology 1.7k
- Genetics 616
- Cardiology and Cardiovascular Medicine 377
Countries citing papers authored by Paul Hossenlopp
This map shows the geographic impact of Paul Hossenlopp'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 Paul Hossenlopp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Hossenlopp more than expected).
Fields of papers citing papers by Paul Hossenlopp
This network shows the impact of papers produced by Paul Hossenlopp. 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 Paul Hossenlopp. The network helps show where Paul Hossenlopp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Hossenlopp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 231 | |
| 2 | 2000 | 33 | |
| 3 | 1994 | 24 | |
| 4 | Molecular forms of human IGF binding proteins: physiological implications. | 1991 | 36 |
| 5 | 1991 | 12 | |
| 6 | 1990 | 132 | |
| 7 | 1990 | 301 | |
| 8 | 1989 | 80 | |
| 9 | 1989 | 170 | |
| 10 | 1989 | 48 | |
| 11 | 1989 | 98 | |
| 12 | 1988 | 191 | |
| 13 | 1987 | 70 | |
| 14 | 1987 | 154 | |
| 15 | Analysis of serum insulin-like growth factor binding proteins using Western blotting: Use of the method for titration of the binding proteins and competitive binding studiesbreakdown → | 1986 | 1093 |
| 16 | 1982 | 62 | |
| 17 | 1981 | 112 | |
| 18 | Somatomedin production by rat liver in organ culture. I. Validity of the technique. Influence of the released material on cartilage sulphation. Effects of growth hormone and insulin. | 1980 | 12 |
| 19 | 1977 | 49 | |
| 20 | 1975 | 63 |
About Paul Hossenlopp
Paul Hossenlopp is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology, having authored 29 papers that have together received 3.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (19 papers), Metabolism, Diabetes, and Cancer (9 papers), Cancer, Hypoxia, and Metabolism (5 papers), Pancreatic function and diabetes (4 papers), Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (3 papers), Genetic Syndromes and Imprinting (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.5k citations), Cancer Research (555 citations) and Molecular Biology (1.7k citations). Paul Hossenlopp has collaborated with scholars based in France, United States and Mali. Frequent co-authors include M Binoux, Danielle Seurin, S Hardouin, C Lassarre, Monireh Roghani, B Segovia, Pierre Chambon, Joël Couprie, Sophie Zinn‐Justin and Jean‐Claude Courvalin.
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.