Augustin Luna

45.9k total citations · 1 hit paper
52 papers, 2.1k citations indexed

About

Augustin Luna is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Augustin Luna has authored 52 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 13 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Augustin Luna's work include Bioinformatics and Genomic Networks (24 papers), Cancer Genomics and Diagnostics (10 papers) and Biomedical Text Mining and Ontologies (9 papers). Augustin Luna is often cited by papers focused on Bioinformatics and Genomic Networks (24 papers), Cancer Genomics and Diagnostics (10 papers) and Biomedical Text Mining and Ontologies (9 papers). Augustin Luna collaborates with scholars based in United States, United Kingdom and Germany. Augustin Luna's co-authors include Chris Sander, Mirit I. Aladjem, Kurt W. Kohn, Bülent Arman Aksoy, Eric Minwei Liu, Ed Reznik, Chad J. Creighton, A. Ari Hakimi, Yves Pommier and William C. Reinhold and has published in prestigious journals such as Nature, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Augustin Luna

49 papers receiving 2.1k citations

Hit Papers

An Integrated Metabolic Atlas of Clear Cell Renal Cell Ca... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Augustin Luna United States 21 1.5k 567 424 387 185 52 2.1k
Margot Sunshine United States 15 2.0k 1.4× 592 1.0× 477 1.1× 408 1.1× 163 0.9× 17 2.7k
Junfei Zhao United States 25 1.6k 1.1× 587 1.0× 398 0.9× 200 0.5× 224 1.2× 81 2.4k
Gonzalo López United States 21 1.4k 0.9× 346 0.6× 370 0.9× 226 0.6× 138 0.7× 33 1.9k
Gürkan Bebek United States 22 1.1k 0.7× 256 0.5× 240 0.6× 180 0.5× 141 0.8× 52 1.7k
Theresa Zhang United States 17 1.3k 0.9× 386 0.7× 507 1.2× 130 0.3× 208 1.1× 28 2.0k
Otília Menyhárt Hungary 19 1.4k 1.0× 798 1.4× 523 1.2× 535 1.4× 90 0.5× 35 2.3k
Lijun Cheng United States 18 1.1k 0.7× 284 0.5× 238 0.6× 300 0.8× 315 1.7× 66 1.6k
Özgün Babur United States 20 1.6k 1.1× 398 0.7× 308 0.7× 152 0.4× 138 0.7× 42 2.0k
Mirra Chung United States 20 949 0.6× 218 0.4× 544 1.3× 207 0.5× 282 1.5× 29 1.8k

Countries citing papers authored by Augustin Luna

Since Specialization
Citations

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

Fields of papers citing papers by Augustin Luna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Augustin Luna

This figure shows the co-authorship network connecting the top 25 collaborators of Augustin Luna. A scholar is included among the top collaborators of Augustin Luna 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 Augustin Luna. Augustin Luna 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.
Reinhold, William C., Elisabetta Marangoni, Fathi Elloumi, et al.. (2025). Acetalax and Bisacodyl for the Treatment of Triple-Negative Breast Cancer: A Combined Molecular and Preclinical Study. Cancer Research Communications. 5(2). 375–388. 1 indexed citations
2.
Elloumi, Fathi, Camille Tlemsani, Christine M. Heske, et al.. (2025). Protocol to set up the CellMinerCDB pharmacogenomics analysis web application with custom cell line data. STAR Protocols. 6(4). 104076–104076.
3.
Girnius, Nomeda, Benjamin Marks, Jingyou Yu, et al.. (2024). Cilengitide sensitivity is predicted by overall integrin expression in breast cancer. Breast Cancer Research. 26(1). 187–187. 2 indexed citations
4.
Peidli, Stefan, Ciyue Shen, Torsten Groß, et al.. (2024). scPerturb: harmonized single-cell perturbation data. Nature Methods. 21(3). 531–540. 46 indexed citations
5.
Luna, Augustin, et al.. (2023). cyjShiny: A cytoscape.js R Shiny Widget for network visualization and analysis. PLoS ONE. 18(8). e0285339–e0285339. 4 indexed citations
6.
Reinhold, William C., Kelli M. Wilson, Fathi Elloumi, et al.. (2023). CellMinerCDB: NCATS Is a Web-Based Portal Integrating Public Cancer Cell Line Databases for Pharmacogenomic Explorations. Cancer Research. 83(12). 1941–1952. 12 indexed citations
7.
Balaur, Irina, et al.. (2023). StonPy: a tool to parse and query collections of SBGN maps in a graph database. Bioinformatics. 39(3). 3 indexed citations
8.
Luna, Augustin, et al.. (2023). Mapping the functional interactions at the tumor-immune checkpoint interface. Communications Biology. 6(1). 462–462. 11 indexed citations
9.
Li, Xubin, Gonghong Yan, Jacob H. Elnaggar, et al.. (2022). Precision Combination Therapies Based on Recurrent Oncogenic Coalterations. Cancer Discovery. 12(6). 1542–1559. 20 indexed citations
10.
Babur, Özgün, Augustin Luna, Anil Korkut, et al.. (2021). Causal interactions from proteomic profiles: Molecular data meet pathway knowledge. Patterns. 2(6). 100257–100257. 41 indexed citations
11.
Luna, Augustin, Metin Can Siper, Anil Korkut, et al.. (2021). Analyzing causal relationships in proteomic profiles using CausalPath. STAR Protocols. 2(4). 100955–100955. 6 indexed citations
12.
Luna, Augustin, Fathi Elloumi, Sudhir Varma, et al.. (2020). CellMiner Cross-Database (CellMinerCDB) version 1.2: Exploration of patient-derived cancer cell line pharmacogenomics. Nucleic Acids Research. 49(D1). D1083–D1093. 119 indexed citations
13.
Liu, Eric Minwei, Augustin Luna, Guanlan Dong, & Chris Sander. (2020). netboxr: Automated discovery of biological process modules by network analysis in R. PLoS ONE. 15(11). e0234669–e0234669. 5 indexed citations
14.
Bergmann, Frank, Tobias Czauderna, Uğur Doğrusöz, et al.. (2020). Systems biology graphical notation markup language (SBGNML) version 0.3. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 17(2-3). 13 indexed citations
15.
Yuan, Bo, Ciyue Shen, Augustin Luna, et al.. (2020). CellBox: Interpretable Machine Learning for Perturbation Biology with Application to the Design of Cancer Combination Therapy. Cell Systems. 12(2). 128–140.e4. 69 indexed citations
16.
Reinhold, William C., Sudhir Varma, Margot Sunshine, et al.. (2016). The NCI-60 Methylome and Its Integration into CellMiner. Cancer Research. 77(3). 601–612. 44 indexed citations
17.
Hakimi, A. Ari, Ed Reznik, Chung‐Han Lee, et al.. (2016). An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma. Cancer Cell. 29(1). 104–116. 531 indexed citations breakdown →
18.
Luna, Augustin, Özgün Babur, Bülent Arman Aksoy, Emek Demir, & Chris Sander. (2015). PaxtoolsR: pathway analysis in R using Pathway Commons. Bioinformatics. 32(8). 1262–1264. 20 indexed citations
19.
Mi, Huaiyu, Falk Schreiber, Stuart Moodie, et al.. (2015). Systems Biology Graphical Notation: Activity Flow language Level 1 Version 1.2. PubMed. 12(2). 265–265. 19 indexed citations
20.
Nicodemus, Kristin K., Joseph H. Callicott, Augustin Luna, et al.. (2010). Evidence of statistical epistasis between DISC1, CIT and NDEL1 impacting risk for schizophrenia: biological validation with functional neuroimaging. Human Genetics. 127(4). 441–452. 85 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026