Tilman Voss

2.5k total citations
31 papers, 1.9k citations indexed

About

Tilman Voss is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Biomaterials. According to data from OpenAlex, Tilman Voss has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Biomaterials. Recurrent topics in Tilman Voss's work include Neonatal Respiratory Health Research (8 papers), Collagen: Extraction and Characterization (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Tilman Voss is often cited by papers focused on Neonatal Respiratory Health Research (8 papers), Collagen: Extraction and Characterization (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Tilman Voss collaborates with scholars based in Austria, Germany and United States. Tilman Voss's co-authors include Klaus Schäfer, Klaus Kühn, Harald Eistetter, Jürgen ENGEL, Jürgen Engel, Hans Hofmann, Siegfried Ussar, Horst Ahorn, Robert W. Glanville and Klaus Melchers and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Cancer Research.

In The Last Decade

Tilman Voss

31 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tilman Voss Austria 20 876 511 305 223 210 31 1.9k
François Plénat France 27 665 0.8× 333 0.7× 130 0.4× 122 0.5× 69 0.3× 95 2.0k
Margaret Lotz United States 20 942 1.1× 259 0.5× 972 3.2× 552 2.5× 51 0.2× 36 2.5k
Stephen N. Mueller United States 20 927 1.1× 128 0.3× 284 0.9× 325 1.5× 177 0.8× 28 1.9k
A. Macieira‐Coelho France 28 1.5k 1.8× 191 0.4× 75 0.2× 190 0.9× 52 0.2× 115 2.7k
Jeffrey M. Arbeit United States 26 1.4k 1.6× 190 0.4× 85 0.3× 190 0.9× 94 0.4× 51 2.8k
Charles R. Birdwell United States 24 1.1k 1.3× 205 0.4× 482 1.6× 508 2.3× 107 0.5× 34 2.5k
Gary E. Gilbert United States 31 1.6k 1.8× 438 0.9× 432 1.4× 444 2.0× 76 0.4× 65 4.2k
Linda H. Shapiro United States 34 2.0k 2.3× 404 0.8× 280 0.9× 188 0.8× 89 0.4× 69 4.3k
Junho Chung South Korea 24 939 1.1× 101 0.2× 68 0.2× 79 0.4× 75 0.4× 99 1.8k
Christopher C. Rider United Kingdom 27 1.3k 1.5× 86 0.2× 163 0.5× 568 2.5× 56 0.3× 63 2.3k

Countries citing papers authored by Tilman Voss

Since Specialization
Citations

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

Fields of papers citing papers by Tilman Voss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tilman Voss

This figure shows the co-authorship network connecting the top 25 collaborators of Tilman Voss. A scholar is included among the top collaborators of Tilman Voss 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 Tilman Voss. Tilman Voss 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.
Wernitznig, Andreas, Jesse Lipp, Thomas Zichner, et al.. (2020). Abstract 3227: CLIFF, a bioinformatics software tool to explore molecular differences between two sets of cancer cell lines. Cancer Research. 80(16_Supplement). 3227–3227. 2 indexed citations
2.
Hilberg, Frank, Ulrike Tontsch-Grunt, Anke Baum, et al.. (2017). Triple Angiokinase Inhibitor Nintedanib Directly Inhibits Tumor Cell Growth and Induces Tumor Shrinkage via Blocking Oncogenic Receptor Tyrosine Kinases. Journal of Pharmacology and Experimental Therapeutics. 364(3). 494–503. 90 indexed citations
3.
Kastner, Stefan, et al.. (2012). Expression of G Protein-Coupled Receptor 19 in Human Lung Cancer Cells Is Triggered by Entry into S-Phase and Supports G2–M Cell-Cycle Progression. Molecular Cancer Research. 10(10). 1343–1358. 37 indexed citations
4.
Ussar, Siegfried & Tilman Voss. (2004). MEK1 and MEK2, Different Regulators of the G1/S Transition. Journal of Biological Chemistry. 279(42). 43861–43869. 98 indexed citations
5.
Voss, Tilman, et al.. (2001). Correlation of clinical data with proteomics profiles in 24 patients with B‐cell chronic lymphocytic leukemia. International Journal of Cancer. 91(2). 180–186. 53 indexed citations
6.
Klade, Christoph, Tilman Voss, E. Krystek, et al.. (2001). Identification of tumor antigens in renal cell carcinoma by serological proteome analysis. PROTEOMICS. 1(7). 890–898. 158 indexed citations
7.
8.
9.
Voss, Tilman, Rainer Meyer, & Wolfgang Sommergruber. (1995). Spectroscopic characterization of rhino viral protease 2a: Zn is essential for the structural integrity. Protein Science. 4(12). 2526–2531. 34 indexed citations
10.
Zhang, Xiaoliu, A. J. D. Bellett, R Tha Hla, et al.. (1994). Down-regulation of human adenovirus E1a by E3 gene products: evidence for translational control of E1a by E3 14{middle dot}5K and/or E3 10{middle dot}4K products. Journal of General Virology. 75(8). 1943–1951. 13 indexed citations
11.
Ahorn, Horst, et al.. (1993). Expression of human interferon-alpha2 in Sf9 cells. Characterization of O-linked glycosylation and protein heterogeneities. European Journal of Biochemistry. 217(3). 921–927. 27 indexed citations
12.
Keller, Andreas, W Steinhilber, Klaus Schäfer, & Tilman Voss. (1992). The C-terminal Domain of the Pulmonary Surfactant Protein C Precursor Contains Signals for Intracellular Targeting. American Journal of Respiratory Cell and Molecular Biology. 6(6). 601–608. 31 indexed citations
13.
Voss, Tilman, Klaus Schäfer, Per F. Nielsen, et al.. (1992). Primary structure differences of human surfactant-associated proteins isolated from normal and proteinosis lung. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1138(4). 261–267. 59 indexed citations
14.
Voss, Tilman, et al.. (1992). An easy cAMP extraction method facilitating adenylyl cyclase assays. Analytical Biochemistry. 207(1). 40–43. 10 indexed citations
15.
Voss, Tilman, et al.. (1991). Structural Comparison of Recombinant Pulmonary Surfactant Protein SP-A Derived from Two Human Coding Sequences: Implications for the Chain Composition of Natural Human SP-A. American Journal of Respiratory Cell and Molecular Biology. 4(1). 88–94. 110 indexed citations
16.
Schäfer, Klaus, et al.. (1991). Assembly of the surfactant protein SP‐A. European Journal of Biochemistry. 199(1). 65–71. 18 indexed citations
17.
Voss, Tilman, et al.. (1991). Assembly and disulfide rearrangement of recombinant surfactant protein A in vitro. European Journal of Biochemistry. 197(3). 799–803. 16 indexed citations
18.
Schäfer, Klaus, Tilman Voss, Klaus Melchers, & Harald Eistetter. (1990). Lung surfactant: A biotechnological challenge. Lung. 168(S1). 851–859. 4 indexed citations
19.
Voss, Tilman, Harald Eistetter, Klaus Schäfer, & Jürgen ENGEL. (1988). Macromolecular organization of natural and recombinant lung surfactant protein SP 28–36. Journal of Molecular Biology. 201(1). 219–227. 223 indexed citations
20.
Kühn, Klaus, Robert W. Glanville, Wilfried Babel, et al.. (1985). The Structure of Type IV Collagena. Annals of the New York Academy of Sciences. 460(1). 14–24. 29 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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