Wim van der Bij
- Surgery top 1%
- Epidemiology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Transplantation top 0.2%
- Oncology top 5%
- Co-authors
- T H ThéErik A.M. VerschuurenW.J. de BoerMichiel E. ErasmusGerard H. KoëterElisabeth M. TenVergertRudolf SpeichJurjen Schirm
- Topics
- Transplantation: Methods and Outcomes (93 papers)Organ Transplantation Techniques and Outcomes (35 papers)Renal Transplantation Outcomes and Treatments (34 papers)
- Cited by
- TransplantationSurgeryEpidemiology
- Partner nations
- NetherlandsUnited StatesItaly
In The Last Decade
Wim van der Bij
134 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 114
- Surgery 2.0k
- Epidemiology 1.5k
- Pulmonary and Respiratory Medicine 936
- Transplantation 900
- Oncology 891
Countries citing papers authored by Wim van der Bij
This map shows the geographic impact of Wim van der Bij'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 Wim van der Bij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wim van der Bij more than expected).
Fields of papers citing papers by Wim van der Bij
This network shows the impact of papers produced by Wim van der Bij. 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 Wim van der Bij. The network helps show where Wim van der Bij may publish in the future.
Co-authorship network of co-authors of Wim van der Bij
This figure shows the co-authorship network connecting the top 25 collaborators of Wim van der Bij. A scholar is included among the top collaborators of Wim van der Bij based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wim van der Bij. Wim van der Bij is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | THE USE OF NON-HEART-BEATING LUNG DONORS CATEGORY III CAN INCREASE THE DONOR POOL | 3 |
| 3 | 45 | |
| 4 | 1 | |
| 5 | INCREASING THE DONOR POOL BY THE USE OF A LUNG DONOR QUALITY SCORE | 1 |
| 6 | 31 | |
| 7 | 352 | |
| 8 | Impaired renal function is not only related to decreased cardiac output but also to increased venous pressure in patients with cardiac dysfunction | 4 |
| 9 | 2 | |
| 10 | 28 | |
| 11 | Peripheral muscle force and exercise capacity in lung transplant candidates | 1 |
| 12 | 33 | |
| 13 | 68 | |
| 14 | 100 | |
| 15 | 27 | |
| 16 | 15 | |
| 17 | 9 | |
| 18 | 76 | |
| 19 | 33 | |
| 20 | [Results of 75 lung transplantations performed in Groningen in 1990-1995. Lung Transplantation Group Groningen]. | 0 |
About Wim van der Bij
Wim van der Bij is a scholar working on Transplantation, Surgery and Oncology, having authored 137 papers that have together received 4.4k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (93 papers), Organ Transplantation Techniques and Outcomes (35 papers) and Renal Transplantation Outcomes and Treatments (34 papers). The work is most often cited by research in Transplantation (900 citations), Surgery (2.0k citations) and Epidemiology (1.5k citations). Wim van der Bij has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include T H Thé, Erik A.M. Verschuuren, W.J. de Boer, Michiel E. Erasmus, Gerard H. Koëter, Elisabeth M. TenVergert, Rudolf Speich, Jurjen Schirm, Ruurd Torensma and Albert Geertsma. Their work appears in journals such as The Lancet, Circulation and Journal of Clinical Investigation.
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.