Peter de Lange

1.0k total citations
37 papers, 711 citations indexed

About

Peter de Lange is a scholar working on Immunology, Transplantation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Peter de Lange has authored 37 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Transplantation and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Peter de Lange's work include Renal Transplantation Outcomes and Treatments (9 papers), T-cell and B-cell Immunology (8 papers) and Organ Transplantation Techniques and Outcomes (6 papers). Peter de Lange is often cited by papers focused on Renal Transplantation Outcomes and Treatments (9 papers), T-cell and B-cell Immunology (8 papers) and Organ Transplantation Techniques and Outcomes (6 papers). Peter de Lange collaborates with scholars based in Netherlands, Germany and United States. Peter de Lange's co-authors include Ilias I.N. Doxiadis, Frans H.J. Claas, Guido G. Persijn, René J. Duquesnoy, Geziena M. Th. Schreuder, Dave L. Roelen, Steve Takemoto, Ralf Klamma, Marian D. Witvliet and Frans H. J. Claas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Kidney International and Transplantation.

In The Last Decade

Peter de Lange

36 papers receiving 685 citations

Peers

Peter de Lange
Comparison fields: 5 of 93
  • Transplantation 282
  • Immunology 263
  • Surgery 167
  • Public Health, Environmental and Occupational Health 86
  • Radiology, Nuclear Medicine and Imaging 66
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Citations per field, relative to Peter de Lange
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Citations per year, relative to Peter de Lange
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Countries citing papers authored by Peter de Lange

Since Specialization
Citations

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

Fields of papers citing papers by Peter de Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter de Lange. 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 Peter de Lange. The network helps show where Peter de Lange may publish in the future.

Co-authorship network of co-authors of Peter de Lange

This figure shows the co-authorship network connecting the top 25 collaborators of Peter de Lange. A scholar is included among the top collaborators of Peter de Lange 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 Peter de Lange. Peter de Lange is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 48
2 3
3
Enhancing MDWE with Collaborative Live Coding
2
4 8
5 5
6 25
7 20
8 9
9 31
10 44
11 113
12 33
13 16
14 99
15
Normal HLA class I, -II, and MICA gene distribution in uveal melanoma patients
4
16 6
17 44
18 31
19 6
20 1

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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