A.M.A. Peeters

1.3k citations
32 papers · 1.0k · h-index 16

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 8
    • Immunotherapy and Immune Responses 4
    • Renal Transplantation Outcomes and Treatments 11

A.M.A. Peeters

32 papers receiving 1.0k citations

Peers

A.M.A. Peeters
Comparison fields: 5 of 67
  • Transplantation 210
  • Genetics 242
  • Immunology 340
  • Hematology 69
  • Surgery 246
Replace Samantha Solini with:
Samantha Solini Italy
Emmanuel Mérieau France
Maren Schulze Germany
Dominique Chabannes France
Sung Joo Kim South Korea
E. Schmid Germany
Hisakazu Nishimori Japan
Susan Rostami United States
Raquel Castejón Spain
M Bontempelli Italy
A.M.A. Peeters relative to Samantha Solini Italy Samantha Solini's profile →
Citations per field
00.5×3.5×
Samantha Solini · 1×
Citations per year

Countries citing papers authored by A.M.A. Peeters

Since Specialization
Citations

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

Fields of papers citing papers by A.M.A. Peeters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.M.A. Peeters. 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 A.M.A. Peeters. The network helps show where A.M.A. Peeters may publish in the future.

Co-authors

The 25 scholars most cited alongside A.M.A. Peeters, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A.M.A. Peeters Line = papers co-authored together A.M.A. Peeters links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005181
2 2007152
3 200879
4 201578
5 200471
6 200369
7 201356
8 201950
9 200734
10 201932
11 202123
12 200922
13 201418
14 200318
15 201017
16 201817
17 201513
18 201313
19 201512
20 201911

About A.M.A. Peeters

A.M.A. Peeters is a scholar working on Immunology, Transplantation, Epidemiology, Surgery and Cancer Research, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (11 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Transplantation: Methods and Outcomes (3 papers), Mesenchymal stem cell research (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Transplantation (210 citations), Genetics (242 citations), Immunology (340 citations), Hematology (69 citations) and Surgery (246 citations). A.M.A. Peeters has collaborated with scholars based in Netherlands, China and Belgium. Frequent co-authors include Carla C. Baan, Willem Weimar, Aggie H.M.M. Balk, Jan N.M. IJzermans, Martin J. Hoogduijn, Sander S. Korevaar, Wendy M. Mol, Mariska Klepper, Meindert J. Crop and Barbara J. van der Mast. Their work appears in journals such as Transplantation, The Journal of Heart and Lung Transplantation, Clinical Epigenetics, American Journal of Transplantation and Scientific Reports.

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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