David Buechel

839 total citations · 1 hit paper
5 papers, 556 citations indexed

About

David Buechel is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, David Buechel has authored 5 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in David Buechel's work include Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related gene regulation (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). David Buechel is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related gene regulation (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). David Buechel collaborates with scholars based in Switzerland, Australia and Argentina. David Buechel's co-authors include Ravi Kiran Reddy Kalathur, Gerhard Christofori, Caner Ercan, Salvatore Piscuoglio, Mairene Coto‐Llerena, Fengyuan Tang, Ruize Gao, Michael T. Dill, Shuang Song and Fernando D. Camargo and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Oncogene.

In The Last Decade

David Buechel

5 papers receiving 550 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

YAP/TAZ and ATF4 drive resistance to Sorafenib in hepatocellular carcinoma by preventing ferroptosis

2021 348 citations Ruize Gao, Ravi Kiran Reddy Kalathur et al. EMBO Molecular Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Buechel Switzerland	5	371	239	232	149	61	5	556
Rafał Pawłowski United Kingdom	6	574 1.5×	113 0.5×	71 0.3×	131 0.9×	63 1.0×	6	688
Danielle J. Sanchez United States	7	419 1.1×	185 0.8×	320 1.4×	106 0.7×	52 0.9×	8	678
Kelly G. Bryant United States	9	397 1.1×	45 0.2×	213 0.9×	79 0.5×	76 1.2×	10	527
Daici Chen China	16	470 1.3×	72 0.3×	220 0.9×	130 0.9×	154 2.5×	27	685
Micaela Montanari Italy	11	344 0.9×	116 0.5×	155 0.7×	49 0.3×	131 2.1×	13	529
Xiangshu Jin China	12	262 0.7×	91 0.4×	154 0.7×	40 0.3×	119 2.0×	37	556
Adam Naguib United States	11	434 1.2×	66 0.3×	133 0.6×	79 0.5×	147 2.4×	12	589
Shuliang Shi China	10	247 0.7×	49 0.2×	138 0.6×	91 0.6×	78 1.3×	15	412
Meng Qiu China	11	343 0.9×	77 0.3×	239 1.0×	38 0.3×	151 2.5×	34	540
Crystal M. Weyman United States	15	506 1.4×	50 0.2×	175 0.8×	75 0.5×	84 1.4×	26	658

Countries citing papers authored by David Buechel

Since Specialization

Citations

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

Fields of papers citing papers by David Buechel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Buechel

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

All Works

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5 of 5 papers shown

1.

Vafaizadeh, Vida, David Buechel, Natalia Rubinstein, et al.. (2021). The interactions of Bcl9/Bcl9L with β-catenin and Pygopus promote breast cancer growth, invasion, and metastasis. Oncogene. 40(43). 6195–6209. 19 indexed citations

2.

Gao, Ruize, David Buechel, Ravi Kiran Reddy Kalathur, et al.. (2021). USP29-mediated HIF1α stabilization is associated with Sorafenib resistance of hepatocellular carcinoma cells by upregulating glycolysis. Oncogenesis. 10(7). 52–52. 46 indexed citations

3.

Buechel, David, Nami Sugiyama, Natalia Rubinstein, et al.. (2021). Parsing β-catenin’s cell adhesion and Wnt signaling functions in malignant mammary tumor progression. Proceedings of the National Academy of Sciences. 118(34). 25 indexed citations

4.

Gao, Ruize, Ravi Kiran Reddy Kalathur, Mairene Coto‐Llerena, et al.. (2021). YAP/TAZ and ATF4 drive resistance to Sorafenib in hepatocellular carcinoma by preventing ferroptosis. EMBO Molecular Medicine. 13(12). e14351–e14351. 348 indexed citations breakdown →

5.

Merino, Marisa M., Christa Rhiner, Jesús M. López-Gay, et al.. (2015). Elimination of Unfit Cells Maintains Tissue Health and Prolongs Lifespan. Cell. 160(3). 461–476. 118 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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