Frank Holtrup

491 total citations
19 papers, 384 citations indexed

About

Frank Holtrup is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Frank Holtrup has authored 19 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 8 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Frank Holtrup's work include Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (7 papers) and Genetic factors in colorectal cancer (3 papers). Frank Holtrup is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (7 papers) and Genetic factors in colorectal cancer (3 papers). Frank Holtrup collaborates with scholars based in United States, Germany and United Kingdom. Frank Holtrup's co-authors include Johannes Fredebohm, Frank Diehl, Jörg D. Hoheisel, Ralf A. Hilger, Kurt Fellenberg, Nigel S. Simpkins, Vincent Rodeschini, Michaël Wink, James D. Taylor and Andrea S. Bauer and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Frank Holtrup

18 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Holtrup United States 10 242 177 128 108 69 19 384
Chanida Vinayanuwattikun Thailand 13 116 0.5× 214 1.2× 119 0.9× 92 0.9× 29 0.4× 42 381
Robert Vander Broek United States 8 145 0.6× 334 1.9× 163 1.3× 83 0.8× 35 0.5× 8 469
Vignesh Ramesh India 9 142 0.6× 230 1.3× 113 0.9× 73 0.7× 22 0.3× 18 400
Chuang Qi China 10 91 0.4× 145 0.8× 301 2.4× 165 1.5× 36 0.5× 38 502
Zihao Wei China 11 261 1.1× 369 2.1× 96 0.8× 185 1.7× 24 0.3× 19 596
Daniel Mendoza-Posada Mexico 4 127 0.5× 165 0.9× 200 1.6× 122 1.1× 15 0.2× 5 417
Elena Vagia United States 9 153 0.6× 226 1.3× 256 2.0× 125 1.2× 35 0.5× 25 493
Shu‐Chun Lin Taiwan 10 107 0.4× 214 1.2× 135 1.1× 41 0.4× 27 0.4× 23 380
Haoxuan Wu China 13 115 0.5× 213 1.2× 122 1.0× 101 0.9× 29 0.4× 29 438
Camila Morais Melo Brazil 6 69 0.3× 142 0.8× 120 0.9× 88 0.8× 28 0.4× 9 297

Countries citing papers authored by Frank Holtrup

Since Specialization
Citations

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

Fields of papers citing papers by Frank Holtrup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Holtrup

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

All Works

19 of 19 papers shown
1.
Kobilay, Makbule, Dirk Skowasch, Abel J. Bronkhorst, et al.. (2023). Pre-Analytical Evaluation of Streck Cell-Free DNA Blood Collection Tubes for Liquid Profiling in Oncology. Diagnostics. 13(7). 1288–1288. 26 indexed citations
2.
Rosenberg, Ari J., Evgeny Izumchenko, Alexander T. Pearson, et al.. (2022). Prospective study evaluating dynamic changes of cell-free HPV DNA in locoregional viral-associated oropharyngeal cancer treated with induction chemotherapy and response-adaptive treatment. BMC Cancer. 22(1). 17–17. 9 indexed citations
3.
Garcia, Jessica, Arnaud Gauthier, Daniel L. Edelstein, et al.. (2021). Routine Molecular Screening of Patients with Advanced Non-SmallCell Lung Cancer in Circulating Cell-Free DNA at Diagnosis and During Progression Using OncoBEAMTM EGFR V2 and NGS Technologies. Molecular Diagnosis & Therapy. 25(2). 239–250. 8 indexed citations
4.
Sloane, Hillary S., Daniel L. Edelstein, Frederick S. Jones, et al.. (2021). 164P Rapid liquid biopsy genotyping in NSCLC patients. Journal of Thoracic Oncology. 16(4). S788–S788. 1 indexed citations
5.
Sloane, Hillary S., Evgeny Izumchenko, Austin K. Mattox, et al.. (2021). Ultra-sensitive detection and quantification of HPV DNA in the plasma of patients with oropharyngeal squamous cell carcinoma (OPSCC) enrolled in the OPTIMA 2 treatment de-escalation trial.. Journal of Clinical Oncology. 39(15_suppl). 6048–6048. 6 indexed citations
6.
Sloane, Hillary S., Daniel L. Edelstein, Frederick S. Jones, et al.. (2021). Abstract LB053: Clinical evaluation of NGS-based liquid biopsy genotyping in non-small cell lung cancer (NSCLC) patients. Cancer Research. 81(13_Supplement). LB053–LB053. 1 indexed citations
7.
Loree, Jonathan M., Dongsheng Tu, Derek J. Jonker, et al.. (2020). Expanded Low Allele Frequency RAS and BRAF V600E Testing in Metastatic Colorectal Cancer as Predictive Biomarkers for Cetuximab in the Randomized CO.17 Trial. Clinical Cancer Research. 27(1). 52–59. 19 indexed citations
8.
9.
Álvarez, Martina, Luís Vicioso, Cristina Hernándo, et al.. (2019). Detection of TP53 and PIK3CA Mutations in Circulating Tumor DNA Using Next-Generation Sequencing in the Screening Process for Early Breast Cancer Diagnosis. Journal of Clinical Medicine. 8(8). 1183–1183. 44 indexed citations
10.
Fostira, Florentia, Athina Kladi, Daniel L. Edelstein, et al.. (2019). Blood-based testing of mutations in patients with head and neck squamous cell carcinoma (HNSCC) using highly sensitive SafeSEQ technology. Annals of Oncology. 30. v469–v469. 4 indexed citations
11.
Vicioso, Luís, Vanessa de Luque, Cristina Hernándo, et al.. (2018). Plasma sequencing of ctDNA in early stage breast cancer as part of the screening process.. Journal of Clinical Oncology. 36(15_suppl). 12073–12073. 2 indexed citations
12.
Holtrup, Frank, et al.. (2017). Demand Response Potentials for the Chemical Industry. Chemie Ingenieur Technik. 89(9). 1133–1141. 21 indexed citations
13.
Fredebohm, Johannes, et al.. (2016). Detection and Quantification of KIT Mutations in ctDNA by Plasma Safe-SeqS. Advances in experimental medicine and biology. 924. 187–189. 18 indexed citations
14.
Fredebohm, Johannes, et al.. (2016). Performance of Streck cfDNA Blood Collection Tubes for Liquid Biopsy Testing. PLoS ONE. 11(11). e0166354–e0166354. 147 indexed citations
15.
16.
Hilger, Ralf A., et al.. (2013). In Vivo Activity and Pharmacokinetics of Nemorosone on Pancreatic Cancer Xenografts. PLoS ONE. 8(9). e74555–e74555. 14 indexed citations
17.
Simpkins, Nigel S., et al.. (2012). Comparison of the cytotoxic effects of enantiopure PPAPs, including nemorosone and clusianone. Bioorganic & Medicinal Chemistry Letters. 22(19). 6144–6147. 23 indexed citations
18.
19.
Holtrup, Frank, Andrea S. Bauer, Kurt Fellenberg, et al.. (2010). Microarray analysis of nemorosone‐induced cytotoxic effects on pancreatic cancer cells reveals activation of the unfolded protein response (UPR). British Journal of Pharmacology. 162(5). 1045–1059. 30 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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