M. Bins
Impact in
- Biochemistry top 2%
- Blood transfusion and management
-
- Blood donation and transfusion practices
Papers in
-
- Blood transfusion and management 8
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- Digital Imaging for Blood Diseases 7
- Co-authors
- Janny De Wildt‐Eggen (10 shared papers)H. C. van Prooijen (6 shared papers)H. Gulliksson (1 shared paper)Floris Takens (1 shared paper)M. R. Halie (10 shared papers)E. S. Gelsema (8 shared papers)Rob Fijnheer (1 shared paper)W. M. Smid (1 shared paper)
- Journals
- Vox Sanguinis (6 papers)Transfusion (4 papers)Cytometry (3 papers)Pattern Recognition (3 papers)Annals of Hematology (1 paper)
- Partner nations
- NetherlandsGermany
In The Last Decade
M. Bins
26 papers receiving 405 citations
Peers
Comparison fields: 5 of 84
- Biochemistry 252
- Management of Technology and Innovation 149
- Hematology 199
- Critical Care and Intensive Care Medicine 35
- Gastroenterology 20
Countries citing papers authored by M. Bins
This map shows the geographic impact of M. Bins'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 M. Bins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bins more than expected).
Fields of papers citing papers by M. Bins
This network shows the impact of papers produced by M. Bins. 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 M. Bins. The network helps show where M. Bins may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Bins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 113 | |
| 2 | 2002 | 67 | |
| 3 | 1997 | 40 | |
| 4 | 1998 | 33 | |
| 5 | 1985 | 29 | |
| 6 | 1983 | 26 | |
| 7 | 1988 | 24 | |
| 8 | 1982 | 17 | |
| 9 | 1996 | 16 | |
| 10 | 2001 | 10 | |
| 11 | 1982 | 10 | |
| 12 | 1981 | 10 | |
| 13 | Prevalence of achlorhydria in a normal population and its relation to serum gastrin. | 1984 | 9 |
| 14 | 1985 | 5 | |
| 15 | 1983 | 5 | |
| 16 | 1983 | 3 | |
| 17 | 1999 | 3 | |
| 18 | Parietal cell antibodies in relation to basal serum gastrin in a normal population. | 1983 | 3 |
| 19 | DNA measurements in thin sections of lymphomas. | 1985 | 3 |
| 20 | 1989 | 2 |
About M. Bins
M. Bins is a scholar working on Biochemistry, Computer Vision and Pattern Recognition, Surgery, Hematology and Management of Technology and Innovation, having authored 31 papers that have together received 438 indexed citations. Recurring topics across this work include Blood transfusion and management (8 papers), Digital Imaging for Blood Diseases (7 papers), Blood donation and transfusion practices (5 papers), Cell Image Analysis Techniques (4 papers), Helicobacter pylori-related gastroenterology studies (4 papers), AI in cancer detection (3 papers), Blood groups and transfusion (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Biochemistry (252 citations), Management of Technology and Innovation (149 citations), Hematology (199 citations), Critical Care and Intensive Care Medicine (35 citations) and Gastroenterology (20 citations). M. Bins has collaborated with scholars based in Netherlands and Germany. Frequent co-authors include Janny De Wildt‐Eggen, H. C. van Prooijen, H. Gulliksson, Floris Takens, M. R. Halie, E. S. Gelsema, Rob Fijnheer, W. M. Smid, J. H. M. Van Tongeren and C. B. H. W. Lamers. Their work appears in journals such as Vox Sanguinis, Transfusion, Cytometry, Pattern Recognition and Annals of Hematology.
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.