Bart S. Hendriks

44 papers receiving 2.4k citations

Peers

Bart S. Hendriks
Comparison fields: 5 of 71
  • Biomaterials 627
  • Oncology 337
  • Pharmacology 106
  • Radiology, Nuclear Medicine and Imaging 170
  • Modeling and Simulation 17
Replace Hyo‐Jeong Kuh with:
Hyo‐Jeong Kuh South Korea
Vuong N. Trieu United States
Aimee K. Bence United States
Lucia Viganò Italy
Mike Walker United Kingdom
Wenwen Du China
Jing Peng China
Leiping Wang China
Lantu Gou China
David Z. Chang United States
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Citations per field
00.5×2×4×6×8.9×
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Citations per year

Countries citing papers authored by Bart S. Hendriks

Since Specialization
Citations

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

Fields of papers citing papers by Bart S. Hendriks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bart S. Hendriks. 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 Bart S. Hendriks. The network helps show where Bart S. Hendriks may publish in the future.

Co-authors

The 25 scholars most cited alongside Bart S. Hendriks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bart S. Hendriks Line = papers co-authored together Bart S. Hendriks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017334
2 2003160
3 2017155
4
Coregulation of epidermal growth factor receptor/human epidermal growth factor receptor 2 (HER2) levels and locations: quantitative analysis of HER2 overexpression effects.
2003117
5 2009117
6 2018111
7 2016110
8 2021109
9 2006103
10 201299
11 201378
12 200877
13 202167
14 200465
15 201260
16 201859
17 200356
18 201355
19 201554
20 201854

About Bart S. Hendriks

Bart S. Hendriks is a scholar working on Biomaterials, Oncology, Pharmacology, Cell Biology and Rheumatology, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (8 papers), Nanoparticle-Based Drug Delivery (7 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Cancer therapeutics and mechanisms (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Computational Drug Discovery Methods (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Biomaterials (627 citations), Oncology (337 citations), Pharmacology (106 citations), Radiology, Nuclear Medicine and Imaging (170 citations) and Modeling and Simulation (17 citations). Bart S. Hendriks has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Douglas A. Lauffenburger, H. Steven Wiley, Thomas J. Wickham, Elena Geretti, Lee K. Opresko, Shannon Curtis Leonard, Helen Lee, Daniel F. Gaddy, Christopher W. Espelin and David de Graaf. Their work appears in journals such as British Journal of Cancer, Molecular Cancer Therapeutics, CPT Pharmacometrics & Systems Pharmacology, Molecular BioSystems and Clinical Cancer Research.

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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