Christopher Buccitelli

2.0k total citations · 1 hit paper
6 papers, 973 citations indexed

About

Christopher Buccitelli is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Christopher Buccitelli has authored 6 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Christopher Buccitelli's work include Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (2 papers) and Microtubule and mitosis dynamics (2 papers). Christopher Buccitelli is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (2 papers) and Microtubule and mitosis dynamics (2 papers). Christopher Buccitelli collaborates with scholars based in Germany, United Kingdom and Italy. Christopher Buccitelli's co-authors include Matthias Selbach, Jan O. Korbel, Balca R. Mardin, Rocı́o Sotillo, Martin Jechlinger, Sridhar Kandala, Adrian M. Stütz, Joachim Weischenfeldt, Benjamin Raeder and Sebastian M. Waszak and has published in prestigious journals such as Nature Communications, Nature Reviews Genetics and Genome Research.

In The Last Decade

Christopher Buccitelli

6 papers receiving 967 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.

mRNAs, proteins and the emerging principles of gene expression control

2020 699 citations Christopher Buccitelli, Matthias Selbach Nature Reviews Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Buccitelli Germany	6	631	190	159	141	107	6	973
Andrey Alexeyenko Sweden	20	912 1.4×	180 0.9×	114 0.7×	154 1.1×	188 1.8×	42	1.4k
Tamayo Uechi Japan	18	1.2k 1.9×	206 1.1×	97 0.6×	131 0.9×	106 1.0×	22	1.4k
Ulrich Elling Austria	17	1.1k 1.8×	76 0.4×	76 0.5×	231 1.6×	96 0.9×	37	1.4k
Taras Valovka Austria	21	1.0k 1.6×	144 0.8×	111 0.7×	72 0.5×	167 1.6×	36	1.3k
Pierre‐Olivier Angrand France	23	1.7k 2.6×	256 1.3×	139 0.9×	420 3.0×	122 1.1×	44	2.0k
Elena Shestakova Russia	15	1.1k 1.7×	101 0.5×	207 1.3×	134 1.0×	209 2.0×	39	1.4k
Guido Keijzers Denmark	21	930 1.5×	187 1.0×	60 0.4×	99 0.7×	215 2.0×	33	1.3k
Ana M. Salicioni United States	27	709 1.1×	217 1.1×	138 0.9×	321 2.3×	168 1.6×	46	2.1k
Abdel Aouacheria France	22	956 1.5×	116 0.6×	133 0.8×	132 0.9×	94 0.9×	47	1.4k
Yesheng Tang Germany	6	1.2k 2.0×	180 0.9×	60 0.4×	101 0.7×	59 0.6×	6	1.5k

Countries citing papers authored by Christopher Buccitelli

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Buccitelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Buccitelli

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

All Works

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6 of 6 papers shown

1.

Chunduri, Narendra Kumar, Xiaoxiao Zhang, Angela Wieland, et al.. (2021). Systems approaches identify the consequences of monosomy in somatic human cells. Nature Communications. 12(1). 5576–5576. 39 indexed citations

2.

Buccitelli, Christopher & Matthias Selbach. (2020). mRNAs, proteins and the emerging principles of gene expression control. Nature Reviews Genetics. 21(10). 630–644. 699 indexed citations breakdown →

3.

Buccitelli, Christopher, et al.. (2020). Acquisition of chromosome instability is a mechanism to evade oncogene addiction. EMBO Molecular Medicine. 12(3). e10941–e10941. 43 indexed citations

4.

Buccitelli, Christopher, et al.. (2017). Pan-cancer analysis distinguishes transcriptional changes of aneuploidy from proliferation. Genome Research. 27(4). 501–511. 37 indexed citations

5.

Buccitelli, Christopher, et al.. (2016). Negative Selection and Chromosome Instability Induced by Mad2 Overexpression Delay Breast Cancer but Facilitate Oncogene-Independent Outgrowth. Cell Reports. 15(12). 2679–2691. 63 indexed citations

6.

Mardin, Balca R., Alexandros P. Drainas, Sebastian M. Waszak, et al.. (2015). A cell‐based model system links chromothripsis with hyperploidy. Molecular Systems Biology. 11(9). 828–828. 92 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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