D. James Haddon

844 total citations
18 papers, 636 citations indexed

About

D. James Haddon is a scholar working on Immunology, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, D. James Haddon has authored 18 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 10 papers in Rheumatology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in D. James Haddon's work include Systemic Lupus Erythematosus Research (9 papers), T-cell and B-cell Immunology (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). D. James Haddon is often cited by papers focused on Systemic Lupus Erythematosus Research (9 papers), T-cell and B-cell Immunology (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). D. James Haddon collaborates with scholars based in United States, Canada and Denmark. D. James Haddon's co-authors include Paul J. Utz, Kelly M. McNagny, Marie‐Renée Blanchet, Lori Zbytnuik, Justin A. Jarrell, Imelda Balboni, Jordan V. Price, Eliza F. Chakravarty, Michael R. Hughes and Leland W.K. Chung and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Blood.

In The Last Decade

D. James Haddon

18 papers receiving 623 citations

Peers

D. James Haddon
Adam Mor United States
Saskia Vosslamber Netherlands
Hossein Hemmatazad Switzerland
Alexandra S. Worobec United States
Stephanie Roberson United States
Nobuaki Hatta Japan
Ayşegül Üner Türkiye
Bernie Scallon Sweden
Jurgen van Heemst Netherlands
L. Matarán Spain
Adam Mor United States
D. James Haddon
Citations per year, relative to D. James Haddon D. James Haddon (= 1×) peers Adam Mor

Countries citing papers authored by D. James Haddon

Since Specialization
Citations

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

Fields of papers citing papers by D. James Haddon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. James Haddon. 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 D. James Haddon. The network helps show where D. James Haddon may publish in the future.

Co-authorship network of co-authors of D. James Haddon

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

All Works

18 of 18 papers shown
1.
Yiu, Gloria, Tue Kruse Rasmussen, Brandon L. Tsai, et al.. (2022). High Interferon Signature Leads to Increased STAT1/3/5 Phosphorylation in PBMCs From SLE Patients by Single Cell Mass Cytometry. Frontiers in Immunology. 13. 833636–833636. 10 indexed citations
2.
Metz, Martin, Gordon Sussman, Rémi Gagnon, et al.. (2021). Fenebrutinib in H1 antihistamine-refractory chronic spontaneous urticaria: a randomized phase 2 trial. Nature Medicine. 27(11). 1961–1969. 94 indexed citations
3.
Haynes, Winston, D. James Haddon, Erika Bongen, et al.. (2020). Integrated, multicohort analysis reveals unified signature of systemic lupus erythematosus. JCI Insight. 5(4). 34 indexed citations
4.
Haddon, D. James, Thierry Sornasse, Michael J. Townsend, Jinglan Pei, & Margaret Michalska. (2019). AB0272 EVALUATION OF CXCL13, SICAM-1, MMP-3 AND S100A8/A9 AS SERUM BIOMARKERS IN PATIENTS WITH RHEUMATOID ARTHRITIS TREATED WITH SUBCUTANEOUS TOCILIZUMAB. Annals of the Rheumatic Diseases. 78. 1593–1594. 1 indexed citations
5.
Morimoto, Alyssa, Julie Rae, Leslie W. Chinn, et al.. (2019). FRI0129 THE BTK INHIBITOR, FENEBRUTINIB, EFFECTIVELY MODULATES B AND MYELOID CELL BIOLOGY IN RHEUMATOID ARTHRITIS PATIENTS. Annals of the Rheumatic Diseases. 78. 733–734. 1 indexed citations
6.
Haddon, D. James, Hannah Wand, Justin A. Jarrell, et al.. (2017). Proteomic Analysis of Sera from Individuals with Diffuse Cutaneous Systemic Sclerosis Reveals a Multianalyte Signature Associated with Clinical Improvement during Imatinib Mesylate Treatment. The Journal of Rheumatology. 44(5). 631–638. 17 indexed citations
7.
Lee, Jung‐Rok, D. James Haddon, Hannah Wand, et al.. (2016). Multiplex giant magnetoresistive biosensor microarrays identify interferon-associated autoantibodies in systemic lupus erythematosus. Scientific Reports. 6(1). 27623–27623. 29 indexed citations
8.
Lee, Jung‐Rok, D. James Haddon, Nidhi Gupta, et al.. (2016). High-Resolution Analysis of Antibodies to Post-Translational Modifications Using Peptide Nanosensor Microarrays. ACS Nano. 10(12). 10652–10660. 16 indexed citations
9.
Yiu, Gloria, Tue Kruse Rasmussen, Bahareh Ajami, et al.. (2015). Development of Th17‐Associated Interstitial Kidney Inflammation in Lupus‐Prone Mice Lacking the Gene Encoding STAT‐1. Arthritis & Rheumatology. 68(5). 1233–1244. 8 indexed citations
10.
Chakravarty, Eliza F., Viktor Martyanov, David Fiorentino, et al.. (2015). Gene expression changes reflect clinical response in a placebo-controlled randomized trial of abatacept in patients with diffuse cutaneous systemic sclerosis. Arthritis Research & Therapy. 17(1). 159–159. 84 indexed citations
11.
Haddon, D. James, Justin A. Jarrell, Hannah Wand, et al.. (2015). Mapping epitopes of U1-70K autoantibodies at single-amino acid resolution. Autoimmunity. 48(8). 513–523. 12 indexed citations
12.
Haddon, D. James, et al.. (2015). Autoantigen microarrays reveal autoantibodies associated with proliferative nephritis and active disease in pediatric systemic lupus erythematosus. Arthritis Research & Therapy. 17(1). 162–162. 39 indexed citations
13.
Kinloch, A. J., Anthony Chang, Kichul Ko, et al.. (2014). Vimentin Is a Dominant Target of In Situ Humoral Immunity in Human Lupus Tubulointerstitial Nephritis. Arthritis & Rheumatology. 66(12). 3359–3370. 60 indexed citations
14.
Price, Jordan V., D. James Haddon, Gil Mandelbaum, et al.. (2013). Protein microarray analysis reveals BAFF-binding autoantibodies in systemic lupus erythematosus. Journal of Clinical Investigation. 123(12). 5135–5145. 74 indexed citations
15.
Hughes, Michael R., Nicole Anderson, Steven Maltby, et al.. (2010). A novel ENU-generated truncation mutation lacking the spectrin-binding and C-terminal regulatory domains of Ank1 models severe hemolytic hereditary spherocytosis. Experimental Hematology. 39(3). 305–320.e2. 23 indexed citations
16.
Haddon, D. James, Frann Antignano, Michael R. Hughes, et al.. (2009). SHIP1 Is a Repressor of Mast Cell Hyperplasia, Cytokine Production, and Allergic Inflammation In Vivo. The Journal of Immunology. 183(1). 228–236. 48 indexed citations
17.
Haddon, D. James, Michael R. Hughes, Frann Antignano, et al.. (2009). Prion Protein Expression and Release by Mast Cells After Activation. The Journal of Infectious Diseases. 200(5). 827–831. 25 indexed citations
18.
Blanchet, Marie‐Renée, Steven Maltby, D. James Haddon, et al.. (2007). CD34 facilitates the development of allergic asthma. Blood. 110(6). 2005–2012. 61 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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