Mildred Wilson

1.3k total citations · 1 hit paper
7 papers, 1.0k citations indexed

About

Mildred Wilson is a scholar working on Immunology, Rheumatology and Molecular Biology. According to data from OpenAlex, Mildred Wilson has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Rheumatology and 1 paper in Molecular Biology. Recurrent topics in Mildred Wilson's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (2 papers). Mildred Wilson is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (2 papers). Mildred Wilson collaborates with scholars based in United States, Netherlands and Slovakia. Mildred Wilson's co-authors include Raphaela Goldbach‐Mansky, Peter E. Lipsky, Geoffrey L. Stephens, Xavier Valencia, Ethan M. Shevach, Christopher S. Snyder, Daniel L. Kastner, Raphaela Goldbach‐Mansky, Robert Wesley and Steven P. Weinstein and has published in prestigious journals such as Blood, The Journal of Immunology and American Journal of Roentgenology.

In The Last Decade

Mildred Wilson

7 papers receiving 1.0k citations

Hit Papers

TNF downmodulates the function of human CD4+CD25hi T-regu... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mildred Wilson United States 7 712 222 216 135 112 7 1.0k
Tetsushi Aita Japan 9 480 0.7× 168 0.8× 307 1.4× 135 1.0× 175 1.6× 15 844
Amalia Raptopoulou Greece 12 540 0.8× 142 0.6× 444 2.1× 80 0.6× 182 1.6× 16 979
A. Léon France 14 354 0.5× 207 0.9× 230 1.1× 95 0.7× 86 0.8× 34 874
Yoshikata Misaki Japan 19 809 1.1× 221 1.0× 208 1.0× 61 0.5× 247 2.2× 38 1.3k
Tsuyoshi Kobashigawa Japan 14 378 0.5× 311 1.4× 340 1.6× 99 0.7× 206 1.8× 39 855
Toru Nakabayashi Japan 12 494 0.7× 305 1.4× 143 0.7× 93 0.7× 150 1.3× 21 1.0k
Sylvia W.A. Kamerling Netherlands 15 709 1.0× 231 1.0× 219 1.0× 45 0.3× 65 0.6× 41 1.1k
Mark H. Wenink Netherlands 16 611 0.9× 173 0.8× 308 1.4× 152 1.1× 58 0.5× 41 958
Guadalupe Lima Mexico 19 429 0.6× 140 0.6× 266 1.2× 42 0.3× 171 1.5× 54 821
James Chung United States 21 966 1.4× 135 0.6× 559 2.6× 225 1.7× 169 1.5× 45 1.5k

Countries citing papers authored by Mildred Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Mildred Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mildred Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Mildred Wilson. A scholar is included among the top collaborators of Mildred Wilson 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 Mildred Wilson. Mildred Wilson 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.
Karnell, Jodi L., Nazzareno Dimasi, Fredrick G. Karnell, et al.. (2014). CD19 and CD32b Differentially Regulate Human B Cell Responsiveness. The Journal of Immunology. 192(4). 1480–1490. 35 indexed citations
2.
Karnell, Jodi L., Fredrick G. Karnell, Geoffrey L. Stephens, et al.. (2011). Mycophenolic Acid Differentially Impacts B Cell Function Depending on the Stage of Differentiation. The Journal of Immunology. 187(7). 3603–3612. 64 indexed citations
3.
Souto‐Carneiro, Margarida, Kazuki Takada, Ruth Fritsch‐Stork, et al.. (2009). Alterations in peripheral blood memory B cells in patients with active rheumatoid arthritis are dependent on the action of tumour necrosis factor. Arthritis Research & Therapy. 11(3). R84–R84. 99 indexed citations
4.
Goldbach‐Mansky, Raphaela, Mildred Wilson, Christopher S. Snyder, et al.. (2008). A pilot study to evaluate the safety and efficacy of the long‐acting interleukin‐1 inhibitor rilonacept (interleukin‐1 trap) in patients with familial cold autoinflammatory syndrome. Arthritis & Rheumatism. 58(8). 2432–2442. 166 indexed citations
5.
Blackman, Marc R., Ranganath Muniyappa, Mildred Wilson, et al.. (2007). Diurnal secretion of growth hormone, cortisol, and dehydroepiandrosterone in pre- and perimenopausal women with active rheumatoid arthritis: a pilot case-control study. Arthritis Research & Therapy. 9(4). R73–R73. 14 indexed citations
6.
Valencia, Xavier, Geoffrey L. Stephens, Raphaela Goldbach‐Mansky, et al.. (2006). TNF downmodulates the function of human CD4+CD25hi T-regulatory cells. Blood. 108(1). 253–261. 639 indexed citations breakdown →
7.
Yao, Lawrence, et al.. (2006). Periarticular Bone Findings in Rheumatoid Arthritis: T2-Weighted Versus Contrast-Enhanced T1-Weighted MRI. American Journal of Roentgenology. 187(2). 358–363. 10 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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