Gerdy ten Dam

508 total citations
8 papers, 393 citations indexed

About

Gerdy ten Dam is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Gerdy ten Dam has authored 8 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Cancer Research. Recurrent topics in Gerdy ten Dam's work include Proteoglycans and glycosaminoglycans research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Fibroblast Growth Factor Research (2 papers). Gerdy ten Dam is often cited by papers focused on Proteoglycans and glycosaminoglycans research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Fibroblast Growth Factor Research (2 papers). Gerdy ten Dam collaborates with scholars based in Netherlands, Germany and United Kingdom. Gerdy ten Dam's co-authors include Toin H. Van Kuppevelt, John T. Gallagher, Catherine L.R. Merry, Florian Heyd, Tarik Möröy, Thomas Dierks, Ina Kalus, Kurt Von Figura, William C. Lamanna and Austin Smith and has published in prestigious journals such as Nature Immunology, PLoS ONE and Biochemical Journal.

In The Last Decade

Gerdy ten Dam

8 papers receiving 386 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gerdy ten Dam	269	234	59	35	35	8	393
Sindhulakshmi Kurup	249 0.9×	250 1.1×	48 0.8×	29 0.8×	11 0.3×	6	383
Tomohiro Akashima	373 1.4×	196 0.8×	53 0.9×	120 3.4×	34 1.0×	9	498
Ban Sato	220 0.8×	143 0.6×	46 0.8×	38 1.1×	5 0.1×	23	354
Bercin Kutluk Cenik	365 1.4×	92 0.4×	41 0.7×	10 0.3×	11 0.3×	12	495
Brian J. Grindel	273 1.0×	175 0.7×	43 0.7×	18 0.5×	5 0.1×	21	486
Laia Miquel‐Serra	333 1.2×	152 0.6×	49 0.8×	10 0.3×	4 0.1×	17	445
Aiko Kitahara	353 1.3×	354 1.5×	78 1.3×	27 0.8×	4 0.1×	18	604
Lisa M. Privette Vinnedge	544 2.0×	127 0.5×	29 0.5×	7 0.2×	8 0.2×	28	639
T Asplund	235 0.9×	281 1.2×	50 0.8×	30 0.9×	8 0.2×	7	367
Mi-Sook Lee	215 0.8×	78 0.3×	19 0.3×	6 0.2×	12 0.3×	24	405

Countries citing papers authored by Gerdy ten Dam

Since Specialization

Citations

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

Fields of papers citing papers by Gerdy ten Dam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerdy ten Dam. 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 Gerdy ten Dam. The network helps show where Gerdy ten Dam may publish in the future.

Co-authorship network of co-authors of Gerdy ten Dam

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

All Works

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8 of 8 papers shown

1.

Kalus, Ina, Susanne Rohn, Tania M. Puvirajesinghe, et al.. (2015). Sulf1 and Sulf2 Differentially Modulate Heparan Sulfate Proteoglycan Sulfation during Postnatal Cerebellum Development: Evidence for Neuroprotective and Neurite Outgrowth Promoting Functions. PLoS ONE. 10(10). e0139853–e0139853. 37 indexed citations

2.

Tátrai, Péter, Áron Somorácz, Toin H. Van Kuppevelt, et al.. (2010). Quantitative and Qualitative Alterations of Heparan Sulfate in Fibrogenic Liver Diseases and Hepatocellular Cancer. Journal of Histochemistry & Cytochemistry. 58(5). 429–441. 64 indexed citations

3.

Belting, Mattias, Toin van Kuppevelt, Anders Wittrup, et al.. (2008). Single chain fragment anti-heparan sulfate antibody targets the polyamine transport system and attenuates polyamine-dependent cell proliferation. International Journal of Oncology. 32(4). 749–56. 25 indexed citations

4.

Johnson, Claire, Brett E. Crawford, Marios P. Stavridis, et al.. (2007). Essential Alterations of Heparan Sulfate During the Differentiation of Embryonic Stem Cells to Sox1-Enhanced Green Fluorescent Protein-Expressing Neural Progenitor Cells. Stem Cells. 25(8). 1913–1923. 108 indexed citations

5.

Johnson, Claire, Brett E. Crawford, Marios P. Stavridis, et al.. (2007). Essential Alterations of Heparan Sulfate During the Differentiation of Embryonic Stem Cells to Sox1-Enhanced Green Fluorescent Protein-Expressing Neural Progenitor Cells. Stem Cells. 25(9). 2389–2389. 8 indexed citations

6.

Heyd, Florian, Gerdy ten Dam, & Tarik Möröy. (2006). Auxiliary splice factor U2AF26 and transcription factor Gfi1 cooperate directly in regulating CD45 alternative splicing. Nature Immunology. 7(8). 859–867. 44 indexed citations

7.

Lamanna, William C., Ina Kalus, Gerdy ten Dam, et al.. (2006). Heparan sulfate 6-O-endosulfatases: discrete in vivo activities and functional co-operativity. Biochemical Journal. 400(1). 63–73. 103 indexed citations

8.

Slobbe, Rob L., Lambert G. Poels, Gerdy ten Dam, et al.. (1994). Analysis of idiotope structure of ovarian cancer antibodies: recognition of the same epitope by two monoclonal antibodies differing mainly in their heavy chain variable sequences. Clinical & Experimental Immunology. 98(1). 95–103. 4 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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