V Ruppert

681 total citations
13 papers, 552 citations indexed

About

V Ruppert is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, V Ruppert has authored 13 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in V Ruppert's work include Cell death mechanisms and regulation (5 papers), Acute Lymphoblastic Leukemia research (5 papers) and RNA Interference and Gene Delivery (4 papers). V Ruppert is often cited by papers focused on Cell death mechanisms and regulation (5 papers), Acute Lymphoblastic Leukemia research (5 papers) and RNA Interference and Gene Delivery (4 papers). V Ruppert collaborates with scholars based in Germany, China and United States. V Ruppert's co-authors include Bernd Dörken, Christian Wuchter, Leonid Karawajew, Martin Schrappe, W-D Ludwig, Richard Ratei, Claudia Schoch, Torsten Haferlach, Jochen Harbott and WD Ludwig and has published in prestigious journals such as Blood, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and British Journal of Haematology.

In The Last Decade

V Ruppert

13 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V Ruppert Germany 10 308 205 205 176 130 13 552
R. Pelka‐Fleischer Germany 15 277 0.9× 279 1.4× 206 1.0× 62 0.4× 205 1.6× 27 653
Toshiya Yokozawa Japan 8 281 0.9× 100 0.5× 222 1.1× 108 0.6× 63 0.5× 17 528
W-D Ludwig Germany 13 397 1.3× 190 0.9× 278 1.4× 213 1.2× 148 1.1× 13 756
Walid Rasheed Saudi Arabia 13 359 1.2× 163 0.8× 202 1.0× 63 0.4× 58 0.4× 49 608
CL Willman United States 7 204 0.7× 196 1.0× 230 1.1× 77 0.4× 32 0.2× 7 398
N. H. Russell United Kingdom 12 255 0.8× 129 0.6× 201 1.0× 60 0.3× 88 0.7× 17 454
Y Elisseyeff United States 9 205 0.7× 133 0.6× 185 0.9× 251 1.4× 17 0.1× 10 556
Julie Turzanski United Kingdom 11 145 0.5× 173 0.8× 119 0.6× 39 0.2× 55 0.4× 15 342
Angelo Dinota Italy 15 216 0.7× 192 0.9× 153 0.7× 37 0.2× 178 1.4× 40 545
Marie Sébert France 13 281 0.9× 123 0.6× 313 1.5× 62 0.4× 60 0.5× 47 593

Countries citing papers authored by V Ruppert

Since Specialization
Citations

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

Fields of papers citing papers by V Ruppert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V Ruppert

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

All Works

13 of 13 papers shown
1.
Wolff, G., Axel Schumacher, Andreas K. Nuessler, et al.. (2003). Coexpression of p21WAF1/CIP1 in adenovirus vector transfected human primary hepatocytes prevents apoptosis resulting in improved transgene expression. Gene Therapy. 10(8). 668–677. 1 indexed citations
2.
Liebers, Uta, Christian Geßner, Leonid Karawajew, et al.. (2002). Infection of cells with replication deficient adenovirus induces cell cycle alterations and leads to downregulation of E2F-1. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1542(1-3). 106–115. 2 indexed citations
3.
Tamm, Ingo, Axel Schumacher, Leonid Karawajew, et al.. (2002). Adenovirus-mediated gene transfer of P16INK4/CDKN2 into bax-negative colon cancer cells induces apoptosis and tumor regression in vivo. Cancer Gene Therapy. 9(8). 641–650. 16 indexed citations
5.
Wuchter, Christian, Daniel Krappmann, Zhen Cai, et al.. (2001). In vitro susceptibility to TRAIL-induced apoptosis of acute leukemia cells in the context of TRAIL receptor gene expression and constitutive NF-κB activity. Leukemia. 15(6). 921–928. 63 indexed citations
8.
Wuchter, Christian, Jochen Harbott, Claudia Schoch, et al.. (2000). Detection of acute leukemia cells with mixed lineage leukemia (MLL) gene rearrangements by flow cytometry using monoclonal antibody 7.1. Leukemia. 14(7). 1232–1238. 51 indexed citations
11.
Wuchter, Christian, V Ruppert, Martin Schrappe, et al.. (2000). Clinical significance of P-glycoprotein expression and function for response to induction chemotherapy, relapse rate and overall survival in acute leukemia.. PubMed. 85(7). 711–21. 114 indexed citations
13.
Karawajew, Leonid, Christian Wuchter, V Ruppert, et al.. (1997). Differential CD95 expression and function in T and B lineage acute lymphoblastic leukemia cells. Leukemia. 11(8). 1245–1252. 43 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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