M. Wiesel

4.2k total citations
90 papers, 2.5k citations indexed

About

M. Wiesel is a scholar working on Transplantation, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, M. Wiesel has authored 90 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Transplantation, 25 papers in Surgery and 23 papers in Public Health, Environmental and Occupational Health. Recurrent topics in M. Wiesel's work include Renal Transplantation Outcomes and Treatments (43 papers), Organ Transplantation Techniques and Outcomes (21 papers) and Organ Donation and Transplantation (13 papers). M. Wiesel is often cited by papers focused on Renal Transplantation Outcomes and Treatments (43 papers), Organ Transplantation Techniques and Outcomes (21 papers) and Organ Donation and Transplantation (13 papers). M. Wiesel collaborates with scholars based in Germany, United States and Croatia. M. Wiesel's co-authors include Gerhard Opelz, Otto Mehls, Volker Daniel, J.E. Adams, Burkhard Tönshoff, Caner Süsal, Robert A. Sells, M Lucan, Giulio Nicita and P. Kozak and has published in prestigious journals such as Radiology, Journal of the American Society of Nephrology and The Journal of Urology.

In The Last Decade

M. Wiesel

90 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Wiesel Germany 25 1.2k 656 455 419 410 90 2.5k
Norio Yoshimura Japan 29 987 0.8× 1.1k 1.7× 324 0.7× 471 1.1× 143 0.3× 241 3.2k
Barbara A. Bresnahan United States 19 3.0k 2.6× 1.8k 2.7× 570 1.3× 933 2.2× 310 0.8× 36 4.3k
Claudia Sommerer Germany 35 2.2k 1.9× 1.1k 1.7× 514 1.1× 410 1.0× 367 0.9× 164 4.6k
Luisa Murer Italy 35 493 0.4× 406 0.6× 485 1.1× 296 0.7× 701 1.7× 121 3.7k
Marian C. Clahsen‐van Groningen Netherlands 23 1.1k 0.9× 583 0.9× 326 0.7× 188 0.4× 187 0.5× 86 2.0k
Evelyne Lerut Belgium 41 2.0k 1.7× 1.4k 2.1× 2.1k 4.5× 456 1.1× 453 1.1× 182 5.5k
Hallgrímur Benediktsson Canada 29 630 0.5× 559 0.9× 353 0.8× 194 0.5× 76 0.2× 97 2.1k
H Wilczek Sweden 32 1.2k 1.0× 1.1k 1.6× 328 0.7× 322 0.8× 240 0.6× 88 3.1k
Jan Goßmann Germany 20 331 0.3× 282 0.4× 240 0.5× 217 0.5× 169 0.4× 42 1.4k
Jeong Mi Park United States 24 339 0.3× 549 0.8× 694 1.5× 83 0.2× 136 0.3× 145 2.4k

Countries citing papers authored by M. Wiesel

Since Specialization
Citations

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

Fields of papers citing papers by M. Wiesel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Wiesel

This figure shows the co-authorship network connecting the top 25 collaborators of M. Wiesel. A scholar is included among the top collaborators of M. Wiesel 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 M. Wiesel. M. Wiesel 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
1.
Opelz, Gerhard, et al.. (2004). SERIAL PERIPHERAL BLOOD INTERLEUKIN-18 AND PERFORIN GENE EXPRESSION MEASUREMENTS FOR PREDICTION OF ACUTE KIDNEY GRAFT REJECTION. Transplantation. 77(10). 1589–1595. 26 indexed citations
2.
Adams, J.E., Otto Mehls, & M. Wiesel. (2004). Pediatric renal transplantation and the dysfunctional bladder. Transplant International. 17(10). 596–602. 58 indexed citations
3.
Weber, Lutz T., Victor W. Armstrong, Maria Shipkova, et al.. (2004). Cyclosporin A Absorption Profiles in Pediatric Renal Transplant Recipients Predict the Risk of Acute Rejection. Therapeutic Drug Monitoring. 26(4). 415–424. 22 indexed citations
4.
Opelz, Gerhard, et al.. (2003). Serial Peripheral Blood Perforin and Granzyme B Gene Expression Measurements for Prediction of Acute Rejection in Kidney Graft Recipients. American Journal of Transplantation. 3(9). 1121–1127. 83 indexed citations
5.
Pelzl, Steffen, et al.. (2003). Evaluation of posttransplantation soluble CD30 for diagnosis of acute renal allograft rejection1. Transplantation. 75(3). 421–423. 74 indexed citations
6.
Rohrschneider, Wiltrud, Sabine Haufe, M. Wiesel, et al.. (2002). Functional and Morphologic Evaluation of Congenital Urinary Tract Dilatation by Using Combined Static-Dynamic MR Urography: Findings in Kidneys with a Single Collecting System. Radiology. 224(3). 683–694. 98 indexed citations
7.
Adams, J.E., Burkhard Tönshoff, G. Staehler, & M. Wiesel. (2001). Influence of donors age on graft survival in renal transplanted children. Transplantation Proceedings. 33(6). 2973–2974. 5 indexed citations
8.
Mandelbaum, A, et al.. (2000). Unexplained decrease of cyclosporin trough levels in a compliant renal transplant patient. Nephrology Dialysis Transplantation. 15(9). 1473–1474. 21 indexed citations
9.
Ritz, Eberhard, Vedat Schwenger, M. Wiesel, & Martin Zeier. (2000). Atherosclerotic complications after renal transplantation. Transplant International. 13(0). S14–S19. 12 indexed citations
10.
Behrend, Matthias, Josep M. Grinyó, Yves Vanrenterghem, et al.. (1999). Mycophenolate mofetil in renal transplantation: 3-year results from the placebo-controlled trial. Transplantation. 68(3). 391–396. 173 indexed citations
11.
Melk, Anette, Volker Daniel, Rolf Weimer, et al.. (1999). P-glycoprotein expression is not a useful predictor of acute or chronic kidney graft rejection. Transplant International. 12(1). 10–17. 15 indexed citations
12.
Haferkamp, Axel, D. Brkovic, M. Wiesel, G. Staehler, & J. Dörsam. (1999). Role of Color-Coded Doppier Sonography in the Assessment of Internal Ureteral Stent Patency. Journal of Endourology. 13(3). 199–203. 4 indexed citations
13.
Carl, S., J. Dörsam, A Mandelbaum, G. Staehler, & M. Wiesel. (1998). Combining FK 506 and Mycophenolate Mofetil for the Treatment of Acute Corticosteroid-Resistant Rejection Following Kidney Transplantation: A New Therapeutic Concept. Transplantation Proceedings. 30(4). 1236–1237. 4 indexed citations
14.
Wühl, Elke, et al.. (1998). Impact of recurrent nephrotic syndrome after renal transplantation in young patients. Pediatric Nephrology. 12(7). 529–533. 23 indexed citations
15.
16.
Süsal, Caner, M. Wiesel, C. Schönemann, et al.. (1997). Presensitization and HLA match influence the predictive power of pretransplant serum IgA and IgA-anti-Fab autoantibodies in kidney graft recipients. Transplantation Proceedings. 29(1-2). 1444–1446. 4 indexed citations
17.
Richet, Hervé, et al.. (1996). Methicillin-Resistant Staphylococcus aureus Control in Hospitals: The French Experience. Infection Control and Hospital Epidemiology. 17(8). 509–511. 8 indexed citations
18.
Dutt, Nikil, et al.. (1994). Design Reuse: Fact or Fiction? (Panel).. Design Automation Conference. 562. 1 indexed citations
19.
Dunlop, A.E., et al.. (1984). Chip Layout Optimization Using Critical Path Weighting. Design Automation Conference. 278–281. 122 indexed citations
20.
Wiesel, M. & D.A. Mlynski. (1982). Two-Dimensional Channel Routing and Channel Intersection Problems. Design Automation Conference. 733–739. 6 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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