Coby Out

703 total citations
10 papers, 493 citations indexed

About

Coby Out is a scholar working on Cell Biology, Immunology and Molecular Biology. According to data from OpenAlex, Coby Out has authored 10 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Coby Out's work include T-cell and B-cell Immunology (4 papers), Skin Protection and Aging (3 papers) and Immunotherapy and Immune Responses (3 papers). Coby Out is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Skin Protection and Aging (3 papers) and Immunotherapy and Immune Responses (3 papers). Coby Out collaborates with scholars based in Netherlands, United States and Australia. Coby Out's co-authors include Frans van Nieuwpoort, Martine J. Jager, Nelleke A. Gruis, Nicholas K. Hayward, Sandra Pavey, Leisl Packer, Wieke Zuidervaart, Stan Pavel, Nico P.M. Smit and Mitchell Stark and has published in prestigious journals such as PLoS ONE, British Journal of Cancer and European Journal of Immunology.

In The Last Decade

Coby Out

10 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Coby Out Netherlands 10 225 171 161 136 119 10 493
Jane Berkelhammer United States 12 137 0.6× 72 0.4× 11 0.1× 170 1.3× 168 1.4× 23 426
Adelina Spallanzani Italy 8 163 0.7× 260 1.5× 6 0.0× 234 1.7× 134 1.1× 14 513
Alka Mahale United States 11 279 1.2× 72 0.4× 78 0.5× 49 0.4× 95 0.8× 16 469
A. Perez France 5 665 3.0× 54 0.3× 54 0.3× 107 0.8× 55 0.5× 7 814
Hermann-Josef Gröne Germany 9 228 1.0× 27 0.2× 9 0.1× 98 0.7× 103 0.9× 9 496
Erica Lantelme Italy 15 281 1.2× 190 1.1× 4 0.0× 429 3.2× 184 1.5× 25 742
Andrew S. McNeal United States 8 396 1.8× 126 0.7× 6 0.0× 48 0.4× 140 1.2× 10 570
Anirudh Sethi United States 8 292 1.3× 77 0.5× 245 1.5× 30 0.2× 23 0.2× 10 516
David J. Fitzhugh United States 12 304 1.4× 31 0.2× 8 0.0× 286 2.1× 241 2.0× 19 720
Yunqing Ren China 12 104 0.5× 213 1.2× 5 0.0× 218 1.6× 37 0.3× 30 442

Countries citing papers authored by Coby Out

Since Specialization
Citations

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

Fields of papers citing papers by Coby Out

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Coby Out

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

All Works

10 of 10 papers shown
1.
Pont, Margot J., M. Willy Honders, Anita N. Kremer, et al.. (2016). Microarray Gene Expression Analysis to Evaluate Cell Type Specific Expression of Targets Relevant for Immunotherapy of Hematological Malignancies. PLoS ONE. 11(5). e0155165–e0155165. 13 indexed citations
2.
Zuidervaart, Wieke, Sandra Pavey, Frans A. van Nieuwpoort, et al.. (2007). Expression of Wnt5a and its downstream effector β-catenin in uveal melanoma. Melanoma Research. 17(6). 380–386. 36 indexed citations
3.
Smit, Nico P.M., Frans A. van Nieuwpoort, Laurent Marrot, et al.. (2007). Increased Melanogenesis is a Risk Factor for Oxidative DNA Damage— Study on Cultured Melanocytes and Atypical Nevus Cells. Photochemistry and Photobiology. 84(3). 550–555. 69 indexed citations
4.
Zuidervaart, Wieke, Frans van Nieuwpoort, Mitchell Stark, et al.. (2005). Activation of the MAPK pathway is a common event in uveal melanomas although it rarely occurs through mutation of BRAF or RAS. British Journal of Cancer. 92(11). 2032–2038. 170 indexed citations
5.
Berens, Werner, Karolien Van Den Bossche, Tae‐Jin Yoon, et al.. (2005). Different approaches for assaying melanosome transfer. Pigment Cell Research. 18(5). 370–381. 27 indexed citations
6.
Pavel, Stan, Frans van Nieuwpoort, H. van der Meulen, et al.. (2004). Disturbed melanin synthesis and chronic oxidative stress in dysplastic naevi. European Journal of Cancer. 40(9). 1423–1430. 66 indexed citations
7.
Dinten, Leonie C. van, et al.. (2004). Uveal and Cutaneous Melanoma: Shared Expression Characteristics of Melanoma-Associated Antigens. Investigative Ophthalmology & Visual Science. 46(1). 24–24. 23 indexed citations
8.
Mommaas, A. Mieke, Aat A. Mulder, Reina Jordens, et al.. (1999). Human epidermal Langerhans cells lack functional mannose receptors and a fully developed endosomal/lysosomal compartment for loading of HLA class II molecules. European Journal of Immunology. 29(2). 571–580. 41 indexed citations
9.
Mommaas, A. Mieke, Aat A. Mulder, Coby Out, et al.. (1995). Distribution of HLA class II molecules in epidermal Langerhans cells in situ. European Journal of Immunology. 25(2). 520–525. 33 indexed citations
10.
Grote, J. J., Coby Out, Clemens van Blitterswijk, et al.. (1989). Cytokeratin Patterns of Tissues Related to Cholesteatoma Pathogenesis. Annals of Otology Rhinology & Laryngology. 98(8). 635–640. 15 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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