Philip Timmerman

5.3k total citations · 1 hit paper
100 papers, 3.6k citations indexed

About

Philip Timmerman is a scholar working on Immunology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Philip Timmerman has authored 100 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Immunology, 42 papers in Molecular Biology and 32 papers in Biomedical Engineering. Recurrent topics in Philip Timmerman's work include Biosimilars and Bioanalytical Methods (72 papers), Advanced Biosensing Techniques and Applications (17 papers) and Protein purification and stability (16 papers). Philip Timmerman is often cited by papers focused on Biosimilars and Bioanalytical Methods (72 papers), Advanced Biosensing Techniques and Applications (17 papers) and Protein purification and stability (16 papers). Philip Timmerman collaborates with scholars based in Belgium, United Kingdom and Switzerland. Philip Timmerman's co-authors include Koen Andries, Jérôme Guillemont, Emmanuelle Cambau, Hans Christian Winkler, Jef Van Gestel, Jean‐Marc Neefs, Peter Verhasselt, Vincent Jarlier, C. Truffot-Pernot and Min Zhu and has published in prestigious journals such as Science, Analytical Chemistry and Journal of Controlled Release.

In The Last Decade

Philip Timmerman

91 papers receiving 3.5k 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.

A Diarylquinoline Drug Active on the ATP Synthase of Mycobacterium tuberculosis

2004 1.6k citations Koen Andries, Peter Verhasselt et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Timmerman Belgium	25	1.5k	1.3k	904	861	389	100	3.6k
Jie Yang China	34	1.1k 0.8×	476 0.4×	674 0.7×	468 0.5×	813 2.1×	170	4.0k
Luiz Pedro S. de Carvalho United Kingdom	32	2.4k 1.6×	1.5k 1.1×	1.1k 1.2×	457 0.5×	231 0.6×	69	3.9k
Donatella Taramelli Italy	41	1.4k 1.0×	594 0.5×	566 0.6×	892 1.0×	1.3k 3.3×	194	5.7k
Kyu Y. Rhee United States	43	3.2k 2.2×	2.8k 2.1×	1.9k 2.1×	274 0.3×	250 0.6×	116	5.4k
Benoît Déprez France	33	2.1k 1.4×	496 0.4×	549 0.6×	202 0.2×	1.2k 3.2×	134	4.1k
Kuni Takayama United States	24	1.3k 0.9×	1.2k 0.9×	1.1k 1.2×	394 0.5×	394 1.0×	49	2.6k
Stephen J. Polyak United States	47	1.7k 1.2×	1.3k 1.0×	3.1k 3.4×	1.4k 1.6×	179 0.5×	112	7.7k
Anne J. Lenaerts United States	42	1.9k 1.3×	3.2k 2.5×	2.3k 2.6×	289 0.3×	830 2.1×	93	5.0k
Wu Zhong China	27	1.4k 1.0×	2.5k 1.9×	673 0.7×	344 0.4×	399 1.0×	116	5.4k
Luiz Augusto Basso Brazil	37	2.7k 1.8×	1.5k 1.1×	942 1.0×	137 0.2×	667 1.7×	221	4.2k

Countries citing papers authored by Philip Timmerman

Since Specialization

Citations

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

Fields of papers citing papers by Philip Timmerman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Timmerman

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

All Works

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20 of 20 papers shown

Timmerman, Philip, Steve White, Cecilia Arfvidsson, et al.. (2025). Feedback from a workshop by the European Bioanalysis Forum on assay validation requirements for in vitro assays following the publication of ICH M12 guideline – a plea for context-of-use over ICH M10 standards. Bioanalysis. 17(6). 379–382.

Hughes, Richard, Gregor Jordan, Arnout F. Gerritsen, et al.. (2025). Use of surrogate matrices in bioanalytical preclinical safety testing using immunoassay methods: a recommendation from the European Bioanalysis Forum. Bioanalysis. 17(14). 893–898.

Merbel, Nico van de, Mark Jean Gnoth, Amanda Wilson, et al.. (2024). Perspective on LC-MS(/MS) for biotherapeutic and biomarker proteins in research and regulated Bioanalysis: a consolidation of more than a decade of experience across the European Bioanalysis Forum community (Part 2: “The How”). Bioanalysis. 17(2). 71–77.

Wilson, Amanda, Mark Jean Gnoth, Nico van de Merbel, et al.. (2024). Perspective on LC-MS(/MS) for biotherapeutic and biomarker proteins in research and regulated Bioanalysis: a consolidation of more than a decade of experience across the European Bioanalysis Forum community (Part 1: “The What”). Bioanalysis. 17(2). 63–70. 2 indexed citations

Delahaye, Lisa, et al.. (2021). Feedback from the Science Café from the Sixth European Bioanalysis Forum Young Scientist Symposium. Bioanalysis. 13(3). 129–133. 2 indexed citations

Pihl, Susanne, et al.. (2018). EBF Recommendation on Practical Management of Critical Reagents for PK Ligand-Binding Assays. Bioanalysis. 10(19). 1557–1565. 12 indexed citations

Velghe, Sofie, et al.. (2018). Feedback From the Fourth European Bioanalysis Forum Young Scientist Symposium. Bioanalysis. 10(20). 1631–1634. 3 indexed citations

Pusecker, Klaus, et al.. (2015). Determination of tapentadol and tapentadol-O-glucuronide in human serum samples by UPLC–MS/MS. Journal of Chromatography B. 981-982. 40–47. 15 indexed citations

Vries, Ronald de, et al.. (2014). Determination of simeprevir: A novel, hepatitis C protease inhibitor in human plasma by high-performance liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 958. 43–47. 35 indexed citations

10.

Lowes, Steve, Mohammed Jemal, Joseph C. Marini, et al.. (2014). Tiered Approaches to Chromatographic Bioanalytical Method Performance Evaluation: Recommendation for Best Practices and Harmonization from the Global Bioanalysis Consortium Harmonization Team. The AAPS Journal. 17(1). 17–23. 15 indexed citations

11.

Yilmaz, Aylin, Richard W. Price, Patrick Mallon, et al.. (2009). Darunavir Concentrations in Cerebrospinal Fluid and Blood in HIV-1–Infected Individuals. AIDS Research and Human Retroviruses. 25(4). 457–461. 70 indexed citations

12.

Leclercq, Laurent, Filip Cuyckens, Geert Mannens, et al.. (2009). Which Human Metabolites Have We MIST? Retrospective Analysis, Practical Aspects, and Perspectives For Metabolite Identification and Quantification in Pharmaceutical Development. Chemical Research in Toxicology. 22(2). 280–293. 94 indexed citations

13.

Meulder, Marc De, Bart Remmerie, Ronald P. de Vries, et al.. (2008). Validated LC–MS/MS methods for the determination of risperidone and the enantiomers of 9-hydroxyrisperidone in human plasma and urine. Journal of Chromatography B. 870(1). 8–16. 56 indexed citations

14.

Andries, Koen, Peter Verhasselt, Jérôme Guillemont, et al.. (2004). A Diarylquinoline Drug Active on the ATP Synthase of Mycobacterium tuberculosis. Science. 307(5707). 223–227. 1632 indexed citations breakdown →

15.

Langlois, Xavier, Bart Willems, Paula te Riele, et al.. (2004). Self-assembling PEG-p(CL-co-TMC) copolymers for oral delivery of poorly water-soluble drugs: a case study with risperidone. Journal of Controlled Release. 102(3). 657–668. 80 indexed citations

16.

Wyde, Philip R., Srikrishna N. Chetty, Philip Timmerman, Brian E. Gilbert, & Koen Andries. (2003). Short duration aerosols of JNJ 2408068 (R170591) administered prophylactically or therapeutically protect cotton rats from experimental respiratory syncytial virus infection. Antiviral Research. 60(3). 221–231. 42 indexed citations

17.

Timmerman, Philip, Ronald de Vries, & Benno Ingelse. (2001). Tailoring Bioanalysis for PK Studies Supporting Drug Discovery. Current Topics in Medicinal Chemistry. 1(5). 443–461. 11 indexed citations

18.

Zanetta, J.-P., Alexandre Pons, Matthias Iwersen, et al.. (2001). Diversity of sialic acids revealed using gas chromatography/mass spectrometry of heptafluorobutyrate derivatives. Glycobiology. 11(8). 663–676. 69 indexed citations

19.

Zanetta, J.-P., Philip Timmerman, & Y. Leroy. (1999). Gas-liquid chromatography of the heptafluorobutyrate derivatives of the O-methyl-glycosides on capillary columns: a method for the quantitative determination of the monosaccharide composition of glycoproteins and glycolipids. Glycobiology. 9(3). 255–266. 84 indexed citations

20.

Meuldermans, W., Jan Hendrickx, W. Lauwers, et al.. (1987). Excretion and biotransformation of alfentanil and sufentanil in rats and dogs.. Drug Metabolism and Disposition. 15(6). 905–913. 23 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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