Marion E. Paape

662 total citations
9 papers, 554 citations indexed

About

Marion E. Paape is a scholar working on Nephrology, Transplantation and Immunology. According to data from OpenAlex, Marion E. Paape has authored 9 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 4 papers in Transplantation and 4 papers in Immunology. Recurrent topics in Marion E. Paape's work include Renal Transplantation Outcomes and Treatments (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Marion E. Paape is often cited by papers focused on Renal Transplantation Outcomes and Treatments (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Marion E. Paape collaborates with scholars based in Netherlands. Marion E. Paape's co-authors include Leendert A. van Es, Mohamed R. Daha, Cees van Kooten, Jan A. Bruijn, Fokko J. van der Woude, Benito Yard, Johan W. de Fijter, Jacques Banchereau, Joke G. Boonstra and François Fossiez and has published in prestigious journals such as Kidney International, Journal of the American Society of Nephrology and Transplantation.

In The Last Decade

Marion E. Paape

9 papers receiving 542 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marion E. Paape Netherlands	8	334	119	112	95	77	9	554
Jürgen Strehlau United States	8	189 0.6×	59 0.5×	218 1.9×	180 1.9×	91 1.2×	10	512
Lauro Vasconcellos United States	4	198 0.6×	55 0.5×	276 2.5×	234 2.5×	87 1.1×	6	536
P. Reekers Netherlands	12	370 1.1×	28 0.2×	76 0.7×	66 0.7×	163 2.1×	30	720
Marie-Luise Arnold Germany	14	200 0.6×	83 0.7×	292 2.6×	173 1.8×	73 0.9×	29	536
Ray Wilkinson Australia	15	279 0.8×	128 1.1×	24 0.2×	36 0.4×	171 2.2×	20	498
Korinna Leder Germany	11	93 0.3×	39 0.3×	70 0.6×	124 1.3×	139 1.8×	13	531
Afzal Nikaein United States	13	290 0.9×	21 0.2×	263 2.3×	245 2.6×	53 0.7×	35	693
L. A. van Es Netherlands	7	179 0.5×	158 1.3×	25 0.2×	48 0.5×	55 0.7×	8	369
Hans‐Peter Lohrmann Germany	10	323 1.0×	48 0.4×	22 0.2×	43 0.5×	99 1.3×	18	705
Mariska Klepper Netherlands	17	592 1.8×	61 0.5×	395 3.5×	134 1.4×	60 0.8×	45	891

Countries citing papers authored by Marion E. Paape

Since Specialization

Citations

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

Fields of papers citing papers by Marion E. Paape

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion E. Paape. 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 Marion E. Paape. The network helps show where Marion E. Paape may publish in the future.

Co-authorship network of co-authors of Marion E. Paape

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

All Works

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9 of 9 papers shown

Kooten, Cees van, Joke G. Boonstra, Marion E. Paape, et al.. (1998). Interleukin-17 activates human renal epithelial cells in vitro and is expressed during renal allograft rejection.. Journal of the American Society of Nephrology. 9(8). 1526–1534. 215 indexed citations

Vleming, Louis Jean, Cees van Kooten, Daan A M J Hollander, et al.. (1998). The D‐allele of the ACE gene polymorphism predicts a stronger antiproteinuric response to ACE inhibitors. Nephrology. 4(3). 143–149. 20 indexed citations

Kooten, Cees van, Jort S.J. Gerritsma, Marion E. Paape, et al.. (1997). Possible role for CD40-CD40L in the regulation of interstitial infiltration in the kidney. Kidney International. 51(3). 711–721. 107 indexed citations

Kooten, Cees van, Joke G. Boonstra, Marion E. Paape, et al.. (1997). IL-17 and CD40-L act synergistically in the activation of human renal epithelial cells and can both be detected during renal allograft rejection. Immunology Letters. 56. 415–415. 4 indexed citations

Yard, Benito, Frans H.J. Claas, Marion E. Paape, et al.. (1994). Recognition of a tissue-specific polymorphism by graft infiltrating T-cell clones isolated from a renal allograft with acute rejection. Nephrology Dialysis Transplantation. 9(7). 805–810. 16 indexed citations

Yard, Benito, Frans H.J. Claas, J. Thorogood, et al.. (1993). THE CLINICAL SIGNIFICANCE OF ALLOSPECIFIC ANTIBODIES AGAINST ENDOTHELIAL CELLS DETECTED WITH AN ANTIBODY-DEPENDENT CELLULAR CYTOTOXICITY ASSAY FOR VASCULAR REJECTION AND GRAFT LOSS AFTER RENAL TRANSPLANTATION. Transplantation. 55(6). 1287–1293. 63 indexed citations

Yard, Benito, et al.. (1993). CsA, FK506, corticosteroids and rapamycin inhibit TNFα production by cultured PTEC. Kidney International. 44(2). 352–358. 23 indexed citations

Yard, Benito, et al.. (1993). Analysis of T cell lines from rejecting renal allografts.. PubMed. 39. S133–8. 29 indexed citations

Yard, Benito, Mohamed R. Daha, Jan A. Bruijn, et al.. (1992). IL-1α stimulated TNFα production by cultured human proximal tubular epithelial cells. Kidney International. 42(2). 383–389. 77 indexed citations

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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