C. Zwick

525 total citations
9 papers, 401 citations indexed

About

C. Zwick is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, C. Zwick has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in C. Zwick's work include Lymphoma Diagnosis and Treatment (4 papers), Immunotherapy and Immune Responses (3 papers) and Lung Cancer Treatments and Mutations (3 papers). C. Zwick is often cited by papers focused on Lymphoma Diagnosis and Treatment (4 papers), Immunotherapy and Immune Responses (3 papers) and Lung Cancer Treatments and Mutations (3 papers). C. Zwick collaborates with scholars based in Germany, Switzerland and United Kingdom. C. Zwick's co-authors include Michael Pfreundschuh, Uğur Şahin, Frank Kennedy, PAUL L. APPEL, Michael Bishop, Peter Meade, Arthur W. Fleming, Harry B. Kram, William C. Shoemaker and Bernd Romeike and has published in prestigious journals such as Critical Care Medicine, Annals of Oncology and Annals of Hematology.

In The Last Decade

C. Zwick

9 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Zwick Germany	8	128	119	102	99	82	9	401
G Dart Australia	9	259 2.0×	102 0.9×	117 1.1×	45 0.5×	43 0.5×	19	661
Abraham Avigdor Israel	10	133 1.0×	69 0.6×	168 1.6×	108 1.1×	38 0.5×	14	426
Ivo Radman Croatia	12	145 1.1×	44 0.4×	154 1.5×	71 0.7×	31 0.4×	44	417
E D Thomas United States	9	81 0.6×	60 0.5×	77 0.8×	26 0.3×	60 0.7×	13	379
Leanne Berkahn New Zealand	12	150 1.2×	59 0.5×	255 2.5×	44 0.4×	27 0.3×	36	474
L. Clifford McKee United States	10	90 0.7×	111 0.9×	62 0.6×	72 0.7×	28 0.3×	15	482
P. Spaander Netherlands	10	108 0.8×	49 0.4×	136 1.3×	30 0.3×	61 0.7×	18	333
John Hogan Ireland	13	144 1.1×	22 0.2×	40 0.4×	64 0.6×	194 2.4×	26	512
Michio Sawada Japan	15	207 1.6×	152 1.3×	302 3.0×	99 1.0×	32 0.4×	37	577
Murat Tombuloğlu Türkiye	11	83 0.6×	78 0.7×	46 0.5×	87 0.9×	62 0.8×	63	453

Countries citing papers authored by C. Zwick

Since Specialization

Citations

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

Fields of papers citing papers by C. Zwick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of C. Zwick. A scholar is included among the top collaborators of C. Zwick 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. Zwick. C. Zwick 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

Murawski, Niels, Michael Pfreundschuh, Samira Zeynalova, et al.. (2014). Optimization of rituximab for the treatment of DLBCL (I): dose-dense rituximab in the DENSE-R-CHOP-14 trial of the DSHNHL. Annals of Oncology. 25(9). 1800–1806. 48 indexed citations

Zeynalova, Samira, Marita Ziepert, Markus Scholz, et al.. (2013). Comparison and modelling of pegylated or unpegylated G-CSF schedules in CHOP-14 regimen of elderly patients with aggressive B-cell lymphoma. Annals of Hematology. 92(12). 1641–1652. 8 indexed citations

Zwick, C., Frank Hartmann, Samira Zeynalova, et al.. (2011). Randomized comparison of pegfilgrastim day 4 versus day 2 for the prevention of chemotherapy-induced leukocytopenia. Annals of Oncology. 22(8). 1872–1877. 30 indexed citations

Trümper, Lorenz, C. Zwick, Marita Ziepert, et al.. (2008). Dose-escalated CHOEP for the treatment of young patients with aggressive non-Hodgkin's lymphoma: I. A randomized dose escalation and feasibility study with bi- and tri-weekly regimens. Annals of Oncology. 19(3). 538–544. 16 indexed citations

Pfreundschuh, Michael, C. Zwick, Samira Zeynalova, et al.. (2007). Dose-escalated CHOEP for the treatment of young patients with aggressive non-Hodgkin’s lymphoma: II. Results of the randomized high-CHOEP trial of the German High-Grade Non-Hodgkin’s Lymphoma Study Group (DSHNHL). Annals of Oncology. 19(3). 545–552. 35 indexed citations

Şahin, Uğur, Michael Koslowski, Ö. Türeci, et al.. (2000). Expression of cancer testis genes in human brain tumors.. PubMed. 6(10). 3916–22. 102 indexed citations

Türeci, Özlem, Uğur Şahin, C. Zwick, Frank Neumann, & Michael Pfreundschuh. (1999). Exploitation of the Antibody Repertoire of Cancer Patients for the Identification of Human Tumor Antigens. Hybridoma. 18(1). 23–28. 46 indexed citations

Türeci, Özlem, et al.. (1999). Identification of human tumor antigens using the antibody repertoire of cancer patients. 48. 93–101. 1 indexed citations

Bishop, Michael, William C. Shoemaker, PAUL L. APPEL, et al.. (1993). Relationship between supranormal circulatory values, time delays, and outcome in severely traumatized patients. Critical Care Medicine. 21(1). 56–63. 115 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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