Dana E. Orange

2.8k total citations
31 papers, 718 citations indexed

About

Dana E. Orange is a scholar working on Rheumatology, Immunology and Oncology. According to data from OpenAlex, Dana E. Orange has authored 31 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Rheumatology, 9 papers in Immunology and 8 papers in Oncology. Recurrent topics in Dana E. Orange's work include Rheumatoid Arthritis Research and Therapies (15 papers), Musculoskeletal synovial abnormalities and treatments (4 papers) and Orthopedic Infections and Treatments (4 papers). Dana E. Orange is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (15 papers), Musculoskeletal synovial abnormalities and treatments (4 papers) and Orthopedic Infections and Treatments (4 papers). Dana E. Orange collaborates with scholars based in United States, United Kingdom and Canada. Dana E. Orange's co-authors include Robert B. Darnell, Mayu O. Frank, Nathalie E. Blachère, Susan M. Goodman, Salina Parveen, Laura T. Donlin, Vivian P. Bykerk, Cristina Rozo, Ali Rashidfarrokhi and Lionel B. Ivashkiv and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Annals of the Rheumatic Diseases.

In The Last Decade

Dana E. Orange

28 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana E. Orange United States 15 323 214 197 121 97 31 718
Ayako Nishino Japan 14 325 1.0× 229 1.1× 175 0.9× 62 0.5× 80 0.8× 48 647
Ulrich Richter Germany 9 114 0.4× 186 0.9× 158 0.8× 136 1.1× 47 0.5× 17 983
Elisa Corsiero United Kingdom 12 291 0.9× 468 2.2× 340 1.7× 115 1.0× 58 0.6× 25 995
Adrienne Anginot France 12 135 0.4× 195 0.9× 248 1.3× 116 1.0× 74 0.8× 16 594
Martin Hapke Germany 8 246 0.8× 414 1.9× 151 0.8× 206 1.7× 50 0.5× 11 769
Anna‐Karin Hultgård Ekwall Sweden 15 206 0.6× 157 0.7× 165 0.8× 129 1.1× 74 0.8× 30 600
Yuki Ishikawa Japan 15 194 0.6× 122 0.6× 370 1.9× 42 0.3× 49 0.5× 38 1.0k
Amanda K. Ombrello United States 15 283 0.9× 446 2.1× 341 1.7× 113 0.9× 151 1.6× 34 934
Linyu Geng China 12 180 0.6× 288 1.3× 196 1.0× 77 0.6× 40 0.4× 49 663
Piera Filomena Fiore Italy 16 78 0.2× 172 0.8× 258 1.3× 99 0.8× 84 0.9× 25 660

Countries citing papers authored by Dana E. Orange

Since Specialization
Citations

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

Fields of papers citing papers by Dana E. Orange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana E. Orange. 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 Dana E. Orange. The network helps show where Dana E. Orange may publish in the future.

Co-authorship network of co-authors of Dana E. Orange

This figure shows the co-authorship network connecting the top 25 collaborators of Dana E. Orange. A scholar is included among the top collaborators of Dana E. Orange 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 Dana E. Orange. Dana E. Orange 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.
Lakin, Kimberly S., John Spivack, Jessica Gordon, et al.. (2025). Skin Biopsies Enhance Prediction of Clinical Trajectory in Diffuse Cutaneous Systemic Sclerosis. Arthritis & Rheumatology. 78(2). 418–427.
2.
Newton, Michael D., Dana E. Orange, Joseph B. Lesnak, et al.. (2025). Cross-platform transcriptomic data integration identifies an overactive neuro-immune signature in human osteoarthritis synovium. Osteoarthritis and Cartilage. 2 indexed citations
3.
Smith, Melanie H., Amit Lakhanpal, Daniel C. Ramirez, et al.. (2024). Characterizing molecular targets in difficult-to-treat rheumatoid arthritis. Seminars in Arthritis and Rheumatism. 70. 152588–152588.
4.
Malfait, Anne‐Marie, Merissa Olmer, Alia M. Obeidat, et al.. (2024). MAPPING THE JOINT-NERVE INTERACTOME OF THE KNEE: AN INTEGRATIVE APPROACH FOR IDENTIFYING NEW STRATEGIES FOR THE CONTROL OF JOINT PAIN. Osteoarthritis and Cartilage. 32. S23–S24. 1 indexed citations
5.
Winthrop, Kevin, John D. Isaacs, Philip J. Mease, et al.. (2023). Unmet need in rheumatology: reports from the Advances in Targeted Therapies meeting, 2022. Annals of the Rheumatic Diseases. 82(5). 594–598. 15 indexed citations
6.
Mehta, Bella, Susan M. Goodman, Edward F. DiCarlo, et al.. (2023). Machine learning identification of thresholds to discriminate osteoarthritis and rheumatoid arthritis synovial inflammation. Arthritis Research & Therapy. 25(1). 31–31. 18 indexed citations
7.
DiCarlo, Edward F., Caryn Hale, Daniel C. Ramirez, et al.. (2023). Computer Vision Analysis of Rheumatoid Arthritis Synovium Reveals Lymphocytic Inflammation Is Associated With Immunoglobulin Skewing in Blood. Arthritis & Rheumatology. 75(12). 2137–2147. 4 indexed citations
8.
Meednu, Nida, Javier Rangel‐Moreno, Fan Zhang, et al.. (2022). Dynamic spectrum of ectopic lymphoid B cell activation and hypermutation in the RA synovium characterized by NR4A nuclear receptor expression. Cell Reports. 39(5). 110766–110766. 23 indexed citations
9.
Meednu, Nida, Javier Rangel‐Moreno, Fan Zhang, et al.. (2021). Dynamic Spectrum of Ectopic Lymphoid B Cell Activation in the RA Synovium Characterized by NR4A Nuclear Receptor Expression. SSRN Electronic Journal. 1 indexed citations
10.
Spiera, Robert, Cynthia M. Magro, Phaedra Agius, et al.. (2020). Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement. Annals of the Rheumatic Diseases. 80(2). 228–237. 20 indexed citations
11.
Mehta, Bella, Jackie Finik, Iris Navarro‐Millán, et al.. (2020). Racial disparities in pre-operative pain, function and disease activity for patients with rheumatoid arthritis undergoing Total knee or Total hip Arthroplasty: a New York based study. BMC Rheumatology. 4(1). 17–17. 3 indexed citations
12.
Morse, Kyle W., Nicole Heinz, Joshua Wright-Chisem, et al.. (2020). Tranexamic Acid Does Not Reduce the Risk of Transfusion in Rheumatoid Arthritis Patients Undergoing Total Joint Arthroplasty. The Journal of Arthroplasty. 35(9). 2367–2374. 12 indexed citations
13.
Orange, Dana E., Phaedra Agius, Edward F. DiCarlo, et al.. (2019). Histologic and Transcriptional Evidence of Subclinical Synovial Inflammation in Patients With Rheumatoid Arthritis in Clinical Remission. Arthritis & Rheumatology. 71(7). 1034–1041. 20 indexed citations
14.
Stephenson, William, Laura T. Donlin, Andrew Butler, et al.. (2018). Single-cell RNA-seq of rheumatoid arthritis synovial tissue using low-cost microfluidic instrumentation. Nature Communications. 9(1). 791–791. 240 indexed citations
15.
Goodman, Susan M., Vivian P. Bykerk, Edward F. DiCarlo, et al.. (2018). Flares in Patients with Rheumatoid Arthritis after Total Hip and Total Knee Arthroplasty: Rates, Characteristics, and Risk Factors. The Journal of Rheumatology. 45(5). 604–611. 33 indexed citations
16.
Blachère, Nathalie E., Dana E. Orange, Emily C. Gantman, et al.. (2017). T cells presenting viral antigens or autoantigens induce cytotoxic T cell anergy. JCI Insight. 2(21). 2 indexed citations
17.
Blachère, Nathalie E., Salina Parveen, John J. Fak, Mayu O. Frank, & Dana E. Orange. (2015). Inflammatory but not apoptotic death of granulocytes citrullinates fibrinogen. Arthritis Research & Therapy. 17(1). 369–369. 23 indexed citations
18.
Frank, Mayu O., Julia Kaufman, Salina Parveen, et al.. (2014). Dendritic cell vaccines containing lymphocytes produce improved immunogenicity in patients with cancer. Journal of Translational Medicine. 12(1). 338–338. 7 indexed citations
19.
Orange, Dana E., Mayu O. Frank, Suyan Tian, et al.. (2012). Cellular Immune Suppression in Paraneoplastic Neurologic Syndromes Targeting Intracellular Antigens. Archives of Neurology. 69(9). 1132–40. 33 indexed citations
20.
Orange, Dana E., M Jegathesan, Nathalie E. Blachère, et al.. (2004). Effective antigen cross-presentation by prostate cancer patients' dendritic cells: implications for prostate cancer immunotherapy. Prostate Cancer and Prostatic Diseases. 7(1). 63–72. 16 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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