C. Schönemann

929 total citations
31 papers, 658 citations indexed

About

C. Schönemann is a scholar working on Immunology, Transplantation and Epidemiology. According to data from OpenAlex, C. Schönemann has authored 31 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 13 papers in Transplantation and 8 papers in Epidemiology. Recurrent topics in C. Schönemann's work include Renal Transplantation Outcomes and Treatments (13 papers), T-cell and B-cell Immunology (13 papers) and Immune Cell Function and Interaction (12 papers). C. Schönemann is often cited by papers focused on Renal Transplantation Outcomes and Treatments (13 papers), T-cell and B-cell Immunology (13 papers) and Immune Cell Function and Interaction (12 papers). C. Schönemann collaborates with scholars based in Germany, Netherlands and United States. C. Schönemann's co-authors include Klemens Budde, Nils Lachmann, Lutz Liefeldt, Birgit Rudolph, Danilo Schmidt, Johannes Waiser, H. H. Neumayer, Petra Glander, Susanne Brakemeier and Petra Reinke and has published in prestigious journals such as American Journal of Transplantation, Nephrology Dialysis Transplantation and Gene Therapy.

In The Last Decade

C. Schönemann

27 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Schönemann Germany	11	471	280	205	159	124	31	658
Steffen Pelzl Germany	12	491 1.0×	277 1.0×	124 0.6×	173 1.1×	126 1.0×	15	592
Andrea Ruhenstroth Germany	11	371 0.8×	235 0.8×	126 0.6×	210 1.3×	65 0.5×	19	565
Augusto Tagliamacco Italy	13	346 0.7×	234 0.8×	158 0.8×	90 0.6×	104 0.8×	20	539
Lucile Amrouche France	13	374 0.8×	263 0.9×	101 0.5×	148 0.9×	108 0.9×	32	674
Graciela de Boccardo United States	17	588 1.2×	313 1.1×	140 0.7×	108 0.7×	200 1.6×	39	754
Luis Gaite Argentina	5	520 1.1×	260 0.9×	228 1.1×	163 1.0×	48 0.4×	7	702
J.M. Boria Grinyo United States	2	509 1.1×	239 0.9×	164 0.8×	142 0.9×	48 0.4×	2	649
Heather Morris United States	11	327 0.7×	158 0.6×	362 1.8×	98 0.6×	92 0.7×	24	758
Marcia M. L. Kho Netherlands	15	293 0.6×	140 0.5×	187 0.9×	115 0.7×	47 0.4×	44	566
M. Harler United States	5	454 1.0×	253 0.9×	140 0.7×	171 1.1×	31 0.3×	13	610

Countries citing papers authored by C. Schönemann

Since Specialization

Citations

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

Fields of papers citing papers by C. Schönemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Schönemann

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

All Works

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20 of 20 papers shown

Lachmann, Nils, Matthias Niemann, Petra Reinke, et al.. (2017). Donor–Recipient Matching Based on Predicted Indirectly Recognizable HLA Epitopes Independently Predicts the Incidence of De Novo Donor-Specific HLA Antibodies Following Renal Transplantation. American Journal of Transplantation. 17(12). 3076–3086. 121 indexed citations

Lindemann, Monika, Veronika Lenz, Falko M. Heinemann, et al.. (2016). Effect of ABO incompatibility on T‐cell flow cytometry cross‐match results prior to living donor kidney transplantation. Cytometry Part B Clinical Cytometry. 94(4). 623–630. 5 indexed citations

Arnold, R., et al.. (2016). Identification of a novel HLA‐B null allele, HLA‐B*41:45N, by HLA typing of two related Caucasoid individuals. HLA. 88(1-2). 50–51. 2 indexed citations

Süsal, Caner, Christian Seidl, C. Schönemann, et al.. (2015). Determination of unacceptable HLA antigen mismatches in kidney transplant recipients: recommendations of the German Society for Immunogenetics. Tissue Antigens. 86(5). 317–323. 17 indexed citations

Liefeldt, Lutz, Susanne Brakemeier, Petra Glander, et al.. (2012). Donor-Specific HLA Antibodies in a Cohort Comparing Everolimus With Cyclosporine After Kidney Transplantation. American Journal of Transplantation. 12(5). 1192–1198. 185 indexed citations

Schulze, Harald, et al.. (2011). A new HLA‐B*52 allele, B*52:23, detected in a patient before bone marrow transplantation. Tissue Antigens. 78(6). 455–456. 3 indexed citations

Brakemeier, Susanne, Brunhilde Schweiger, Nils Lachmann, et al.. (2011). Immune response to an adjuvanted influenza A H1N1 vaccine (Pandemrix(R)) in renal transplant recipients. Nephrology Dialysis Transplantation. 27(1). 423–428. 58 indexed citations

Schulze, Harald, et al.. (2011). A new HLA‐C*07 variant allele, C*07:108, identified by sequence‐based typing. Tissue Antigens. 78(5). 403–404.

Westermann, Jörg, Anne Flörcken, Gerald Willimsky, et al.. (2010). Allogeneic gene-modified tumor cells (RCC-26/IL-7/CD80) as a vaccine in patients with metastatic renal cell cancer: a clinical phase-I study. Gene Therapy. 18(4). 354–363. 15 indexed citations

10.

Emmerich, Florian, et al.. (2008). Haplotype‐specific sequencing reveals a novel HLA‐B*37 allele, B*3714. Tissue Antigens. 73(1). 67–67.

11.

Emmerich, Florian, et al.. (2008). Identification of the novel HLA‐A*240215 allele by haplotype‐specific sequencing. Tissue Antigens. 71(5). 481–482. 1 indexed citations

12.

Emmerich, Florian, et al.. (2008). Identification of a novel HLA‐B allele, HLA‐B*5529, by haplotype‐specific sequencing. Tissue Antigens. 71(5). 486–486. 2 indexed citations

13.

Emmerich, Florian, et al.. (2007). Identification of a novel HLA‐DQB1 allele, HLA‐DQB1*0632. Tissue Antigens. 71(1). 94–95. 4 indexed citations

14.

Meyer, Oliver, et al.. (2007). Application of the particle gel agglutination assay in the typing of single human leucocyte antigens. Tissue Antigens. 71(2). 157–159. 1 indexed citations

15.

Salama, A., et al.. (2006). ELISA methods detect HLA antibodies with variable sensitivity. International Journal of Immunogenetics. 33(3). 163–166. 18 indexed citations

16.

Schönemann, C., et al.. (2006). A novel HLA‐A*680104 variant^a. Tissue Antigens. 67(2). 169–170. 6 indexed citations

17.

Dragun, Duska, Jan Hinrich Bräsen, C. Schönemann, et al.. (2003). Patients with steroid refractory acute vascular rejection develop agonistic antibodies targeting angiotensin II type 1 receptor. Transplantation Proceedings. 35(6). 2104–2105. 18 indexed citations

18.

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

19.

May, G., P Müller, Werner Seeger, et al.. (1992). Effect of ATG prophylaxis in sensitized and non-sensitized kidney graft recipients. PubMed. 5 Suppl 1. 75–78. 17 indexed citations

20.

Kaden, J, et al.. (1992). Effect of ATG prophylaxis in sensitized and non-sensitized kidney graft recipients. Transplant International. 5. S75–S78. 18 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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