Marc Sudman

1.4k total citations
9 papers, 239 citations indexed

About

Marc Sudman is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Marc Sudman has authored 9 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Marc Sudman's work include Autoimmune and Inflammatory Disorders Research (8 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Immune Cell Function and Interaction (2 papers). Marc Sudman is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (8 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Immune Cell Function and Interaction (2 papers). Marc Sudman collaborates with scholars based in United States, United Kingdom and Switzerland. Marc Sudman's co-authors include Susan D. Thompson, Carl D. Langefeld, David N. Glass, Mary Ryan, Miranda C. Marion, Glenys Thomson, Teodorica L. Bugawan, Jill A. Hollenbach, Wendy Thomson and Sampath Prahalad and has published in prestigious journals such as PLoS ONE, Water Research and Annals of the Rheumatic Diseases.

In The Last Decade

Marc Sudman

9 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Sudman United States 7 150 103 58 52 48 9 239
Jane L. Park United States 8 253 1.7× 154 1.5× 77 1.3× 57 1.1× 136 2.8× 9 339
Andrea Skrabl‐Baumgartner Austria 8 89 0.6× 113 1.1× 11 0.2× 91 1.8× 39 0.8× 8 261
Ekaterina Kuchinskaya Sweden 10 108 0.7× 23 0.2× 29 0.5× 17 0.3× 83 1.7× 28 287
Linqing Zhong China 10 38 0.3× 102 1.0× 6 0.1× 59 1.1× 115 2.4× 21 221
V. Bruner Italy 7 34 0.2× 95 0.9× 9 0.2× 135 2.6× 72 1.5× 9 295
Valentina Bertaina Italy 11 195 1.3× 190 1.8× 10 0.2× 6 0.1× 101 2.1× 31 402
Monika Trebo Austria 8 124 0.8× 61 0.6× 14 0.2× 4 0.1× 74 1.5× 16 270
Karoline Walscheid Germany 13 207 1.4× 56 0.5× 10 0.2× 201 3.9× 85 1.8× 31 415
A von Stackelberg Germany 7 120 0.8× 27 0.3× 13 0.2× 7 0.1× 43 0.9× 13 246
Camille Bigenwald France 7 33 0.2× 60 0.6× 6 0.1× 22 0.4× 22 0.5× 22 179

Countries citing papers authored by Marc Sudman

Since Specialization
Citations

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

Fields of papers citing papers by Marc Sudman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Sudman

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

All Works

9 of 9 papers shown
1.
Cornelius, Susanna Francina, Young‐Woo Seo, George S. Bullerjahn, et al.. (2025). Uncovering microbial interactions in a persistent Planktothrix bloom: Towards early biomarker identification in hypereutrophic lakes. Water Research. 283. 123683–123683. 1 indexed citations
2.
Shakhnovich, Valentina, Marc Sudman, Daniel J. Lovell, et al.. (2024). Identification of Plasma Metabolomic Biomarkers of Juvenile Idiopathic Arthritis. Metabolites. 14(9). 499–499. 1 indexed citations
3.
López‐Isac, Elena, Samantha Smith, Marc Sudman, et al.. (2020). Combined genetic analysis of juvenile idiopathic arthritis clinical subtypes identifies novel risk loci, target genes and key regulatory mechanisms. Annals of the Rheumatic Diseases. 80(3). 321–328. 40 indexed citations
5.
Ramsey, Laura B., Halima Moncrieffe, Marc Sudman, et al.. (2019). Association of SLCO 1B1 *14 Allele with Poor Response to Methotrexate in Juvenile Idiopathic Arthritis Patients. ACR Open Rheumatology. 1(1). 58–62. 14 indexed citations
6.
Hinks, Anne, Paul Martin, Susan D. Thompson, et al.. (2013). Autoinflammatory gene polymorphisms and susceptibility to UK juvenile idiopathic arthritis. Pediatric Rheumatology. 11(1). 14–14. 16 indexed citations
7.
Hinks, Anne, Joanna Cobb, Marc Sudman, et al.. (2012). Investigation of rheumatoid arthritis susceptibility loci in juvenile idiopathic arthritis confirms high degree of overlap. Annals of the Rheumatic Diseases. 71(7). 1117–1121. 35 indexed citations
8.
Hollenbach, Jill A., Susan D. Thompson, Teodorica L. Bugawan, et al.. (2010). Juvenile idiopathic arthritis and HLA Class I and Class II interactions and age‐at‐onset effects. Arthritis & Rheumatism. 62(6). 1781–1791. 71 indexed citations
9.
Thompson, Susan D., Marta B. Moroldo, Mary Ryan, et al.. (2004). A genome‐wide scan for juvenile rheumatoid arthritis in affected sibpair families provides evidence of linkage. Arthritis & Rheumatism. 50(9). 2920–2930. 55 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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