Y. Graus

1.8k total citations
32 papers, 1.3k citations indexed

About

Y. Graus is a scholar working on Neurology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Y. Graus has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 8 papers in Immunology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Y. Graus's work include Myasthenia Gravis and Thymoma (18 papers), Peripheral Neuropathies and Disorders (13 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Y. Graus is often cited by papers focused on Myasthenia Gravis and Thymoma (18 papers), Peripheral Neuropathies and Disorders (13 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Y. Graus collaborates with scholars based in Netherlands, United Kingdom and Slovakia. Y. Graus's co-authors include Laura M’Rabet, Guus F. Rimmelzwaan, Maaike M.B.W. Dooper, Adrianus C. M. Boon, Ron A. M. Fouchier, Marc H. De Baets, K. Sintnicolaas, Albert D. M. E. Osterhaus, Gerrie de Mutsert and A.F. Sanders and has published in prestigious journals such as Blood, The Journal of Immunology and Annals of Neurology.

In The Last Decade

Y. Graus

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Graus Netherlands 18 481 307 265 264 163 32 1.3k
Rakhi Sharma India 16 239 0.5× 528 1.7× 136 0.5× 127 0.5× 55 0.3× 26 1.4k
S A Gregory United States 17 519 1.1× 587 1.9× 59 0.2× 153 0.6× 60 0.4× 22 2.2k
Mireille Laforge France 19 466 1.0× 604 2.0× 172 0.6× 488 1.8× 101 0.6× 34 1.8k
Rodolfo Thomé Brazil 20 374 0.8× 368 1.2× 70 0.3× 120 0.5× 73 0.4× 46 1.1k
Dong Han China 26 249 0.5× 895 2.9× 68 0.3× 174 0.7× 143 0.9× 72 1.9k
Roberto Rivabene Italy 20 296 0.6× 639 2.1× 100 0.4× 179 0.7× 109 0.7× 66 1.5k
J. Catharina Duvigneau Austria 22 166 0.3× 490 1.6× 95 0.4× 197 0.7× 91 0.6× 57 1.4k
Kailash C. Chadha United States 20 309 0.6× 509 1.7× 32 0.1× 140 0.5× 46 0.3× 57 1.4k
Yuki Nakajima Japan 24 176 0.4× 891 2.9× 90 0.3× 112 0.4× 32 0.2× 133 2.0k
Giselle Pentón‐Rol Cuba 20 1.1k 2.3× 445 1.4× 55 0.2× 176 0.7× 52 0.3× 30 1.9k

Countries citing papers authored by Y. Graus

Since Specialization
Citations

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

Fields of papers citing papers by Y. Graus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Graus

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

All Works

20 of 20 papers shown
1.
Hartog, Anita, A.F. Sanders, Y. Graus, et al.. (2006). Oral administration of the NADPH-oxidase inhibitor apocynin partially restores diminished cartilage proteoglycan synthesis and reduces inflammation in mice. European Journal of Pharmacology. 531(1-3). 264–269. 81 indexed citations
2.
Miles, Elizabeth A., Tapati Banerjee, Maaike M.B.W. Dooper, et al.. (2004). The influence of different combinations of γ-linolenic acid, stearidonic acid and EPA on immune function in healthy young male subjects. British Journal Of Nutrition. 91(6). 893–903. 97 indexed citations
3.
Dooper, Maaike M.B.W., et al.. (2003). Dihomo‐γ‐linolenic acid inhibits tumour necrosis factor‐α production by human leucocytes independently of cyclooxygenase activity. Immunology. 110(3). 348–357. 38 indexed citations
4.
Wouters-Wesseling, W., Marieke B. Snijder, Y. Graus, et al.. (2002). Effect of a Complete Nutritional Supplement on Antibody Response to Influenza Vaccine in Elderly People. The Journals of Gerontology Series A. 57(9). M563–M566. 35 indexed citations
5.
Boon, Adrianus C. M., E Fringuelli, Y. Graus, et al.. (2002). Influenza A Virus Specific T Cell Immunity in Humans during Aging. Virology. 299(1). 100–108. 52 indexed citations
6.
7.
Boon, Adrianus C. M., A.P. Vos, Y. Graus, Guus F. Rimmelzwaan, & Albert D. M. E. Osterhaus. (2002). In vitro Effect of Bioactive Compounds on Influenza Virus Specific B‐ and T‐Cell Responses. Scandinavian Journal of Immunology. 55(1). 24–32. 17 indexed citations
8.
Visser, Karin E. de, Felicia H. Tirion, Y. Graus, et al.. (2000). Tumor size at the time of adoptive transfer determines whether tumor rejection occurs. European Journal of Immunology. 30(5). 1297–1307. 31 indexed citations
9.
Bessereau, Jean‐Louis, Y. Graus, Thierry Guyon, et al.. (1998). Role of the target organ in determining susceptibility to experimental autoimmune myasthenia gravis. Journal of Neuroimmunology. 89(1-2). 131–141. 17 indexed citations
10.
Gultekin, Sakir H., Josep Dalmau, Y. Graus, Jerome B. Posner, & Marc K. Rosenblum. (1998). Anti-Hu Immunolabeling as an Index of Neuronal Differentiation in Human Brain Tumors. The American Journal of Surgical Pathology. 22(2). 195–200. 25 indexed citations
11.
Graus, Y., et al.. (1997). Macrophage infiltration at the neuromuscular junction does not contribute to AChR loss and age-related resistance to EAMG. Journal of Neuroimmunology. 75(1-2). 147–155. 15 indexed citations
12.
Graus, Y., Marc De Baets, P. van Breda Vriesman, & Dennis R. Burton. (1997). Fab fragments isolated from thymus of myasthenia gravis patients reflect predominant specificities in serum and block the action of serum antibodies. Immunology Letters. 56. 369–370. 1 indexed citations
13.
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15.
Graus, Y., et al.. (1993). VH Gene Family Utilization of Antiacetylcholine Receptor Antibodies in Experimental Autoimmune Myasthenia Gravis. Annals of the New York Academy of Sciences. 681(1). 285–287. 1 indexed citations
16.
Graus, Y., Jan J.G.M. Verschuuren, Nicolaas A. Bos, Peter J.C. van Breda Vriesman, & Marc H. De Baets. (1993). VH gene family utilization of anti-acetylcholine receptor antibodies in experimental autoimmune myasthenia gravis. Journal of Neuroimmunology. 43(1-2). 113–124. 4 indexed citations
17.
Graus, Y. & Marc H. De Baets. (1993). Myasthenia gravis: An autoimmune response against the acetylcholine receptor. Immunologic Research. 12(1). 78–100. 24 indexed citations
18.
Graus, Y., Peter J.C. van Breda Vriesman, & Marc H. De Baets. (1993). Characterization of anti-acetylcholine receptor (AChR) antibodies from mice differing in susceptibility for experimental autoimmune myasthenia gravis (EAMG). Clinical & Experimental Immunology. 92(3). 506–513. 25 indexed citations
19.
Verschuuren, Jan J.G.M., Y. Graus, Ruud Theunissen, et al.. (1992). Role of acetylcholine receptor antibody complexes in muscle in experimental autoimmune myasthenia gravis. Journal of Neuroimmunology. 36(2-3). 117–125. 15 indexed citations
20.
Graus, Y., Mieke E.R. Henfling, Jan J.G.M. Verschuuren, et al.. (1991). Age related resistance to experimental autoimmune myasthenia gravis in rats. Journal of Autoimmunity. 4(6). xxviii–xxviii. 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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