André Schultz

4.5k total citations · 1 hit paper
12 papers, 601 citations indexed

About

André Schultz is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, André Schultz has authored 12 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in André Schultz's work include Cancer Genomics and Diagnostics (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Bioinformatics and Genomic Networks (3 papers). André Schultz is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Bioinformatics and Genomic Networks (3 papers). André Schultz collaborates with scholars based in United States, Germany and Italy. André Schultz's co-authors include Amina A. Qutub, Rehan Akbani, John N. Weinstein, Thierry Soussi, Teng‐Kuei Hsu, Yuexin Liu, Olivier Lichtarge, Maria Cardenas, Xubin Li and Anil Korkut and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Bioinformatics.

In The Last Decade

André Schultz

11 papers receiving 587 citations

Hit Papers

Integrated Analysis of TP53 Gene and Pathway Alterations ... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André Schultz United States 6 358 211 205 92 65 12 601
Changwen Jing China 15 301 0.8× 154 0.7× 275 1.3× 143 1.6× 54 0.8× 32 582
Erwin Tomasich Austria 13 336 0.9× 179 0.8× 187 0.9× 120 1.3× 72 1.1× 31 547
Liping Chung Australia 14 270 0.8× 158 0.7× 119 0.6× 93 1.0× 54 0.8× 20 555
Rezina Arju United States 11 617 1.7× 254 1.2× 168 0.8× 92 1.0× 136 2.1× 16 933
Matias Casás‐Selves United States 8 350 1.0× 175 0.8× 126 0.6× 71 0.8× 75 1.2× 9 549
Olaf Klingbeil United States 12 425 1.2× 316 1.5× 118 0.6× 70 0.8× 62 1.0× 17 685
Chiara Bazzichetto Italy 14 402 1.1× 330 1.6× 162 0.8× 111 1.2× 149 2.3× 23 727
Guoyin Li China 13 343 1.0× 156 0.7× 230 1.1× 111 1.2× 56 0.9× 35 584
Julian Musa Germany 8 334 0.9× 113 0.5× 136 0.7× 108 1.2× 39 0.6× 18 500

Countries citing papers authored by André Schultz

Since Specialization
Citations

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

Fields of papers citing papers by André Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Schultz

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

All Works

12 of 12 papers shown
1.
Kurtz, David M., Jacob J. Chabon, Brian J. Sworder, et al.. (2021). Leveraging phased variants for personalized minimal residual disease detection in localized non-small cell lung cancer.. Journal of Clinical Oncology. 39(15_suppl). 8518–8518. 2 indexed citations
2.
Esfahani, Mohammad Shahrokh, Stefan Alig, Mahya Mehrmohamadi, et al.. (2021). Noninvasive Cell-of-Origin Classification of Diffuse Large B-Cell Lymphoma Using Inferred Gene Expression from Cell-Free DNA Sequencing. Blood. 138(Supplement 1). 37–37.
3.
Kurtz, David M., Jacob J. Chabon, Joanne Soo, et al.. (2021). PHASED VARIANTS IMPROVE DLBCL MINIMAL RESIDUAL DISEASE DETECTION AT THE END OF THERAPY. Hematological Oncology. 39(S2). 1 indexed citations
4.
Kurtz, David M., Jacob J. Chabon, Joanne Soo, et al.. (2021). Phased variants improve DLBCL minimal residual disease detection at the end of therapy.. Journal of Clinical Oncology. 39(15_suppl). 7565–7565. 2 indexed citations
5.
Moding, Everett J., Angela B. Hui, Yonina R. Murciano‐Goroff, et al.. (2021). Noninvasive identification of emergent mutations following cytotoxic therapy for lung cancer.. Journal of Clinical Oncology. 39(15_suppl). 8533–8533. 1 indexed citations
6.
Donehower, Lawrence A., Thierry Soussi, Anil Korkut, et al.. (2019). Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas. Cell Reports. 28(5). 1370–1384.e5. 421 indexed citations breakdown →
7.
Schultz, André & Rehan Akbani. (2019). SAMMI: a semi-automated tool for the visualization of metabolic networks. Bioinformatics. 36(8). 2616–2617. 3 indexed citations
8.
Cochran, Amy L., André Schultz, Melvin G. McInnis, & Daniel B. Forger. (2018). Testing frameworks for personalizing bipolar disorder. Translational Psychiatry. 8(1). 36–36. 14 indexed citations
9.
Schultz, André & Amina A. Qutub. (2016). Reconstruction of Tissue-Specific Metabolic Networks Using CORDA. PLoS Computational Biology. 12(3). e1004808–e1004808. 96 indexed citations
10.
Schultz, André, Sudhir Mehta, Chuanbo Hu, et al.. (2016). IDENTIFYING CANCER SPECIFIC METABOLIC SIGNATURES USING CONSTRAINT-BASED MODELS. PubMed. 22. 485–496. 5 indexed citations
11.
Schultz, André & Amina A. Qutub. (2015). Predicting internal cell fluxes at sub-optimal growth. BMC Systems Biology. 9(1). 18–18. 10 indexed citations
12.
Sharrow, Susan O., et al.. (1978). Rapid data collection, analysis, and graphics for flow microfluorometry instrumentation. Review of Scientific Instruments. 49(8). 1137–1142. 46 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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