Frans Martens

511 total citations
17 papers, 361 citations indexed

About

Frans Martens is a scholar working on Organic Chemistry, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Frans Martens has authored 17 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Physiology. Recurrent topics in Frans Martens's work include Radical Photochemical Reactions (3 papers), Hormonal and reproductive studies (3 papers) and Photochemistry and Electron Transfer Studies (3 papers). Frans Martens is often cited by papers focused on Radical Photochemical Reactions (3 papers), Hormonal and reproductive studies (3 papers) and Photochemistry and Electron Transfer Studies (3 papers). Frans Martens collaborates with scholars based in Netherlands, United States and Czechia. Frans Martens's co-authors include J. W. Verhoeven, Annemieke C. Heijboer, S. M. VAN DER KERK, Th. J. de Boer, U. K. PANDIT, Patrick M. Sluss, Cyril A. G. O. Varma, Hubert W. Vesper, Jacquelien J Hillebrand and Mariëtte T. Ackermans and has published in prestigious journals such as The Journal of Physical Chemistry, British Journal of Cancer and Tetrahedron.

In The Last Decade

Frans Martens

17 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frans Martens Netherlands 10 127 79 76 71 47 17 361
Anders Ljungqvist United States 14 234 1.8× 38 0.5× 162 2.1× 19 0.3× 40 0.9× 41 539
Vijayakumar Govindaraj India 12 57 0.4× 45 0.6× 138 1.8× 31 0.4× 76 1.6× 23 353
John Sowell United States 15 55 0.4× 33 0.4× 297 3.9× 114 1.6× 117 2.5× 25 603
Patrick Goede Sweden 11 105 0.8× 62 0.8× 68 0.9× 58 0.8× 144 3.1× 14 394
V. N. Sorokoumov Russia 14 392 3.1× 78 1.0× 90 1.2× 55 0.8× 44 0.9× 56 612
Sarah Lam Hong Kong 17 427 3.4× 16 0.2× 215 2.8× 38 0.5× 18 0.4× 33 658
Hagen Hauptmann Germany 13 208 1.6× 17 0.2× 88 1.2× 53 0.7× 35 0.7× 28 370
O. Dominguez Mexico 16 90 0.7× 23 0.3× 166 2.2× 229 3.2× 59 1.3× 26 602
S. S. H. Gilani United States 10 306 2.4× 39 0.5× 159 2.1× 29 0.4× 83 1.8× 12 543
Gwendolyn Sherman United States 12 77 0.6× 49 0.6× 191 2.5× 8 0.1× 48 1.0× 15 458

Countries citing papers authored by Frans Martens

Since Specialization
Citations

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

Fields of papers citing papers by Frans Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frans Martens

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

All Works

17 of 17 papers shown
1.
Kleif, Jakob, Lars Nannestad Jørgensen, Jakob Hendel, et al.. (2022). Early detection of colorectal neoplasia: application of a blood-based serological protein test on subjects undergoing population-based screening. British Journal of Cancer. 126(10). 1387–1393. 7 indexed citations
2.
Ackermans, Mariëtte T., et al.. (2021). Hematocrit and standardization in DBS analysis: A practical approach for hormones mainly present in the plasma fraction. Clinica Chimica Acta. 520. 179–185. 20 indexed citations
3.
Campo, Marta del, Yolande A.L. Pijnenburg, Alice Chen‐Plotkin, et al.. (2021). Sex Hormone-Binding Globulin (SHBG) in Cerebrospinal Fluid Does Not Discriminate between the Main FTLD Pathological Subtypes but Correlates with Cognitive Decline in FTLD Tauopathies. Biomolecules. 11(10). 1484–1484. 2 indexed citations
4.
Hillebrand, Jacquelien J, Li Zhou, Susan H. Gawel, et al.. (2021). Instability of corticotropin during long-term storage – myth or reality?. Clinical Chemistry and Laboratory Medicine (CCLM). 60(1). 60–65. 1 indexed citations
5.
Ackermans, Mariëtte T., et al.. (2020). We need to talk about the analytical performance of our laboratory developed clinical LC-MS/MS tests, and start separating the wheat from the chaff. Clinica Chimica Acta. 514. 80–83. 10 indexed citations
6.
Vesper, Hubert W., et al.. (2019). Estradiol reference intervals in women during the menstrual cycle, postmenopausal women and men using an LC-MS/MS method. Clinica Chimica Acta. 495. 198–204. 47 indexed citations
7.
Martens, Frans, et al.. (2011). „U-turn” - Dramatische Wende. Notarzt. 27(1). 17–18. 1 indexed citations
8.
Bui, Hong N., Eduard A. Struys, Frans Martens, et al.. (2010). Serum testosterone levels measured by isotope dilution-liquid chromatography–tandem mass spectrometry in postmenopausal women versus those in women who underwent bilateral oophorectomy. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 47(3). 248–252. 44 indexed citations
9.
Mulder, Sandra D., Cees Mulder, Frans Martens, et al.. (2009). CSF levels of PSA and PSA–ACT complexes in Alzheimer's disease. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 46(6). 477–483. 9 indexed citations
10.
Popp‐Snijders, C., et al.. (2000). Short Communications Falsely Elevated Follicle-Stimulating Hormone Levels in Women with Regular Menstrual Cycles due to Interference in Immunoradiometric Assay. Journal of Assisted Reproduction and Genetics. 17(8). 457–458. 10 indexed citations
11.
Schroor, Eelco J., Mirjam M. van Weissenbruch, Mia J.T. Engelbregt, et al.. (1999). Bioactivity of Luteinizing Hormone during Normal Puberty in Girls and Boys. Hormone Research in Paediatrics. 51(5). 230–237. 8 indexed citations
12.
Verhoeven, J. W., et al.. (1986). Mechanism and transition-state structure of hydride-transfer reactions mediated by nad(p)h-models. Tetrahedron. 42(4). 975–992. 58 indexed citations
13.
Martens, Frans, et al.. (1983). Photo-oxidation of 1,4-dihydropyridines by various electron acceptors: a laser flash photolysis study. Journal of Photochemistry. 22(2). 99–113. 31 indexed citations
14.
Martens, Frans & J. W. Verhoeven. (1981). Photo‐induced electron transfer from NADH and other 1,4‐dihydronicotinamides to methyl viologen. Recueil des Travaux Chimiques des Pays-Bas. 100(6). 228–236. 31 indexed citations
15.
Martens, Frans & J. W. Verhoeven. (1981). Charge-transfer complexation in micellar solutions. Water penetrability of micelles. The Journal of Physical Chemistry. 85(13). 1773–1777. 34 indexed citations
16.
Martens, Frans, J. W. Verhoeven, & Th. J. de Boer. (1979). Hydrogen isotope effects in electron donor-acceptor systems. Tetrahedron Letters. 20(31). 2919–2920. 3 indexed citations
17.
Martens, Frans, et al.. (1978). On the question of one-electron transfer in the mechanism of reduction by nadh-models. Tetrahedron. 34(4). 443–446. 45 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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