M. Bins
Impact in
- Biochemistry top 2%
- Blood transfusion and management
- Hematology top 10%
- Blood groups and transfusion
- Platelet Disorders and Treatments
Papers in
-
- Blood transfusion and management 8
-
- 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)M. R. Halie (10 shared papers)Floris Takens (1 shared paper)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)Pattern Recognition (3 papers)Cytometry (3 papers)British Journal of Haematology (1 paper)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
M. Bins
26 papers receiving 400 citations
Peers
Comparison fields: 5 of 79
- Biochemistry 248
- Hematology 107
- Management of Technology and Innovation 72
- Critical Care and Intensive Care Medicine 17
- Internal Medicine 10
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 | 117 | |
| 2 | 2002 | 67 | |
| 3 | 1997 | 40 | |
| 4 | 1998 | 33 | |
| 5 | 1988 | 30 | |
| 6 | 1983 | 30 | |
| 7 | 1985 | 28 | |
| 8 | 1996 | 17 | |
| 9 | 1982 | 12 | |
| 10 | 1981 | 11 | |
| 11 | 2001 | 10 | |
| 12 | 1983 | 9 | |
| 13 | Prevalence of achlorhydria in a normal population and its relation to serum gastrin. | 1984 | 9 |
| 14 | 1985 | 8 | |
| 15 | 1999 | 3 | |
| 16 | DNA measurements in thin sections of lymphomas. | 1985 | 3 |
| 17 | Parietal cell antibodies in relation to basal serum gastrin in a normal population. | 1983 | 3 |
| 18 | 1989 | 2 | |
| 19 | 1999 | 2 | |
| 20 | 1983 | 2 |
About M. Bins
M. Bins is a scholar working on Biochemistry, Computer Vision and Pattern Recognition, Surgery, Biophysics and Molecular Biology, having authored 31 papers that have together received 445 indexed citations. Recurring topics across this work include Blood transfusion and management (8 papers), Digital Imaging for Blood Diseases (7 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Cell Image Analysis Techniques (4 papers), Gastroesophageal reflux and treatments (3 papers), Blood donation and transfusion practices (3 papers), AI in cancer detection (3 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Biochemistry (248 citations), Hematology (107 citations), Management of Technology and Innovation (72 citations), Critical Care and Intensive Care Medicine (17 citations) and Internal Medicine (10 citations). M. Bins has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Janny De Wildt‐Eggen, H. C. van Prooijen, H. Gulliksson, M. R. Halie, Floris Takens, E. S. Gelsema, Rob Fijnheer, W. M. Smid, N. K. Shinton and R. Thom. Their work appears in journals such as Vox Sanguinis, Transfusion, Pattern Recognition, Cytometry and British Journal of Haematology.
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.