D. Zimmermann

3.5k total citations · 1 hit paper
63 papers, 2.8k citations indexed

About

D. Zimmermann is a scholar working on Atomic and Molecular Physics, and Optics, Cell Biology and Microbiology. According to data from OpenAlex, D. Zimmermann has authored 63 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 11 papers in Cell Biology and 11 papers in Microbiology. Recurrent topics in D. Zimmermann's work include Reproductive tract infections research (11 papers), Lymphoma Diagnosis and Treatment (9 papers) and Proteoglycans and glycosaminoglycans research (8 papers). D. Zimmermann is often cited by papers focused on Reproductive tract infections research (11 papers), Lymphoma Diagnosis and Treatment (9 papers) and Proteoglycans and glycosaminoglycans research (8 papers). D. Zimmermann collaborates with scholars based in Switzerland, Germany and United States. D. Zimmermann's co-authors include Erkki Ruoslahti, María T. Dours‐Zimmermann, Richard G. LeBaron, A. Pospischil, Michael Naso, Renato V. Iozzo, Louise Vaughan, Beata Bode‐Lesniewska, Zen Huat Lu and Philipp U. Heitz and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

D. Zimmermann

62 papers receiving 2.7k citations

Hit Papers

Multiple domains of the l... 1989 2026 2001 2013 1989 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
D. Zimmermann 1.3k 1.0k 429 392 272 63 2.8k
Alessandra Cambi 913 0.7× 2.2k 2.1× 602 1.4× 169 0.4× 207 0.8× 113 5.7k
Roger Karlsson 866 0.7× 865 0.8× 177 0.4× 232 0.6× 85 0.3× 68 2.3k
David Boettiger 1.4k 1.1× 1.8k 1.7× 1.1k 2.5× 30 0.1× 854 3.1× 78 4.0k
Caroline Cluzel 289 0.2× 606 0.6× 300 0.7× 79 0.2× 346 1.3× 27 1.5k
Susan W. Craig 3.0k 2.4× 2.6k 2.5× 1.0k 2.4× 42 0.1× 288 1.1× 68 6.5k
Hattie D. Gresham 375 0.3× 2.7k 2.6× 1.2k 2.8× 368 0.9× 443 1.6× 47 6.9k
Jia‐Huai Wang 665 0.5× 2.4k 2.3× 1.3k 3.0× 102 0.3× 292 1.1× 91 6.0k
M.A. Horton 951 0.7× 1.6k 1.6× 478 1.1× 21 0.1× 146 0.5× 58 3.8k
Frank A. Robey 633 0.5× 2.1k 2.1× 1.2k 2.7× 201 0.5× 365 1.3× 71 5.1k
Wendy E. Thomas 912 0.7× 2.5k 2.4× 377 0.9× 138 0.4× 472 1.7× 77 4.5k

Countries citing papers authored by D. Zimmermann

Since Specialization
Citations

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

Fields of papers citing papers by D. Zimmermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Zimmermann

This figure shows the co-authorship network connecting the top 25 collaborators of D. Zimmermann. A scholar is included among the top collaborators of D. Zimmermann 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 D. Zimmermann. D. Zimmermann 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.
Vaughan, Louise, Andreas H. Zisch, Philipp Weber, et al.. (2015). Cellular Receptors for Tenascin1. Contributions to nephrology. 107. 80–84.
2.
Carrino, David A., Anthony Calabro, Adnan Darr, et al.. (2010). Age-related differences in human skin proteoglycans. Glycobiology. 21(2). 257–268. 48 indexed citations
3.
Hitz, Felicitas, Giovanni Martinelli, Emanuele Zucca, et al.. (2009). A multicentre phase II trial of gemcitabine for the treatment of patients with newly diagnosed, relapsed or chemotherapy resistant mantle cell lymphoma: SAKK 36/03. Hematological Oncology. 27(3). 154–159. 6 indexed citations
4.
Dours‐Zimmermann, María T., K. Maurer, Uwe Rauch, et al.. (2009). Versican V2 Assembles the Extracellular Matrix Surrounding the Nodes of Ranvier in the CNS. Journal of Neuroscience. 29(24). 7731–7742. 98 indexed citations
5.
Gäumann, Andreas, Beata Bode‐Lesniewska, D. Zimmermann, et al.. (2008). Exploration of the APC/β-catenin (WNT) pathway and a histologic classification system for pulmonary artery intimal sarcoma. A study of 18 cases. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 453(5). 473–484. 14 indexed citations
6.
Polkinghorne, Adam, Nicole Borel, Albert J. Becker, et al.. (2008). Molecular evidence for chlamydial infections in the eyes of sheep. Veterinary Microbiology. 135(1-2). 142–146. 46 indexed citations
7.
Becker, Albert J., Zen Huat Lu, Enrico Brugnera, et al.. (2007). Intensively Kept Pigs Pre‐disposed to Chlamydial Associated Conjunctivitis. Journal of Veterinary Medicine Series A. 54(6). 307–313. 28 indexed citations
8.
Bode‐Lesniewska, Beata, Simona Frigerio, Ulrich Exner, et al.. (2007). Relevance of translocation type in myxoid liposarcoma and identification of a novel EWSR1‐DDIT3 fusion. Genes Chromosomes and Cancer. 46(11). 961–971. 39 indexed citations
9.
Teankum, Komkrich, A. Pospischil, Fredi Janett, et al.. (2006). Detection of chlamydiae in boar semen and genital tracts. Veterinary Microbiology. 116(1-3). 149–157. 27 indexed citations
10.
Teankum, Komkrich, A. Pospischil, Fredi Janett, et al.. (2006). Prevalence of chlamydiae in semen and genital tracts of bulls, rams and bucks. Theriogenology. 67(2). 303–310. 51 indexed citations
11.
Lu, Zen Huat, Albert J. Becker, Enrico Brugnera, et al.. (2006). Chlamydiales in Guinea‐pigs and Their Zoonotic Potential. Journal of Veterinary Medicine Series A. 53(4). 185–193. 41 indexed citations
13.
Pospischil, A., R. Thoma, Monika Hilbe, et al.. (2002). Abort beim Menschen durch Chlamydophila abortus (Chlamydia psittaci serovar 1). Schweizer Archiv für Tierheilkunde. 144(9). 463–466. 44 indexed citations
14.
Pospischil, A., et al.. (2002). Abort beim Rind durch Chlamydia psittaci. Schweizer Archiv für Tierheilkunde. 144(9). 467–472. 12 indexed citations
15.
Simon, Hans‐Uwe, Shída Yousefi, Corina Dommann‐Scherrer, et al.. (1996). Expansion of cytokine-producing CD4-CD8- T cells associated with abnormal Fas expression and hypereosinophilia.. The Journal of Experimental Medicine. 183(3). 1071–1082. 123 indexed citations
16.
Bode‐Lesniewska, Beata, María T. Dours‐Zimmermann, B Odermatt, et al.. (1996). Distribution of the large aggregating proteoglycan versican in adult human tissues.. Journal of Histochemistry & Cytochemistry. 44(4). 303–312. 164 indexed citations
18.
Schleiffenbaum, B, et al.. (1995). High grade malignant lymphoma with clinical characteristics and immunophenotype of natural killer cells. American Journal of Hematology. 49(3). 221–231. 3 indexed citations
19.
Guler, Hans‐Peter, et al.. (1989). Small stature and insulin-like growth factors: prolonged treatment of mini-poodles with recombinant human insulin-like growth factor I. European Journal of Endocrinology. 121(3). 456–464. 9 indexed citations
20.
Zimmermann, D. & M.H.V. Van Regenmortel. (1989). Spurious cross-reactions between plant viruses and monoclonal antibodies can be overcome by saturating ELISA plates with milk proteins. Archives of Virology. 106(1-2). 15–22. 13 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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