Annette Grummels

810 total citations
7 papers, 587 citations indexed

About

Annette Grummels is a scholar working on Pathology and Forensic Medicine, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Annette Grummels has authored 7 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Immunology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Annette Grummels's work include Systemic Sclerosis and Related Diseases (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Annette Grummels is often cited by papers focused on Systemic Sclerosis and Related Diseases (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Annette Grummels collaborates with scholars based in Netherlands, United States and Switzerland. Annette Grummels's co-authors include Eric Eldering, René A. W. van Lier, Paul A. Baars, Koert M. Dolman, Richard J. Bende, Carel J.M. van Noesel, Tim Beaumont, Ingrid A. M. Derks, Taco W. Kuijpers and Thomas F. Tedder and has published in prestigious journals such as Journal of Clinical Investigation, Annals of the Rheumatic Diseases and Leukemia.

In The Last Decade

Annette Grummels

7 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annette Grummels Netherlands 6 291 191 119 113 112 7 587
Hervé Watier France 9 235 0.8× 127 0.7× 106 0.9× 70 0.6× 106 0.9× 10 594
Kristján Steinsson Iceland 13 751 2.6× 235 1.2× 72 0.6× 143 1.3× 70 0.6× 17 1.1k
Cyrus Sayehli Germany 14 245 0.8× 499 2.6× 78 0.7× 87 0.8× 231 2.1× 37 831
Maurizio Miglino Italy 18 291 1.0× 319 1.7× 260 2.2× 39 0.3× 99 0.9× 65 1.1k
Tomáš Papajík Czechia 16 215 0.7× 265 1.4× 316 2.7× 69 0.6× 383 3.4× 109 792
Daisuke Kashiwakuma Japan 13 499 1.7× 110 0.6× 50 0.4× 174 1.5× 77 0.7× 17 901
M. Qazilbash United States 11 180 0.6× 257 1.3× 83 0.7× 39 0.3× 97 0.9× 22 602
Andreas Braeuninger Germany 7 208 0.7× 209 1.1× 232 1.9× 53 0.5× 353 3.2× 11 634
Justus Duyster Germany 8 140 0.5× 145 0.8× 72 0.6× 53 0.5× 173 1.5× 11 490
Niki Stavroyianni Greece 18 298 1.0× 222 1.2× 448 3.8× 86 0.8× 335 3.0× 59 863

Countries citing papers authored by Annette Grummels

Since Specialization
Citations

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

Fields of papers citing papers by Annette Grummels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annette Grummels

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

All Works

7 of 7 papers shown
1.
Bakker, Jaap, Annette Grummels, Suzana Jordan, et al.. (2021). Anticentromere Antibody Levels and Isotypes and the Development of Systemic Sclerosis. Arthritis & Rheumatology. 73(12). 2338–2347. 18 indexed citations
2.
Bakker, Jaap, Annette Grummels, Maarten K. Ninaber, et al.. (2020). Association of Anti–Topoisomerase I Antibodies of the IgM Isotype With Disease Progression in Anti–Topoisomerase I–Positive Systemic Sclerosis. Arthritis & Rheumatology. 72(11). 1897–1904. 31 indexed citations
3.
Moel, Emma C. de, Elisa A. Rozeman, Ellen Kapiteijn, et al.. (2018). Autoantibody Development under Treatment with Immune-Checkpoint Inhibitors. Cancer Immunology Research. 7(1). 6–11. 129 indexed citations
4.
Bakker, Jaap, Annette Grummels, Nina Ajmone Marsan, et al.. (2018). FRI0451 Continuous presence of igm anti-topoisomerase i antibodies indicates an ongoing immune response in systemic sclerosis. Annals of the Rheumatic Diseases. 77. 755–755. 1 indexed citations
5.
Kuijpers, Taco W., Richard J. Bende, Paul A. Baars, et al.. (2009). CD20 deficiency in humans results in impaired T cell–independent antibody responses. Journal of Clinical Investigation. 120(1). 214–222. 268 indexed citations
6.
Kater, Arnon P., Annette Grummels, Mark H.H. Kramer, et al.. (2005). Chronic lymphocytic leukemia cells display p53-dependent drug-induced Puma upregulation. Leukemia. 19(3). 427–434. 67 indexed citations
7.
Russell, Nicola S., Annette Grummels, A.A.M. Hart, et al.. (1998). Low predictive value of intrinsic fibroblast radiosensitivity for fibrosis development following radiotherapy for breast cancer. International Journal of Radiation Biology. 73(6). 661–670. 73 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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