Jess D. Edison

2.0k total citations · 1 hit paper
39 papers, 1.5k citations indexed

About

Jess D. Edison is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Jess D. Edison has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Rheumatology, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Jess D. Edison's work include Rheumatoid Arthritis Research and Therapies (18 papers), Systemic Lupus Erythematosus Research (13 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). Jess D. Edison is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (18 papers), Systemic Lupus Erythematosus Research (13 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). Jess D. Edison collaborates with scholars based in United States, Switzerland and Netherlands. Jess D. Edison's co-authors include Kevin D. Deane, V. Michael Holers, William R. Gilliland, Jill M. Norris, Lezlie A. Derber, William H. Robinson, Jeremy Sokolove, Lauren J. Lahey, Robert Tibshirani and Piyanka Chandra and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Scientific Reports.

In The Last Decade

Jess D. Edison

38 papers receiving 1.4k citations

Hit Papers

Autoantibody Epitope Spreading in the Pre-Clinical Phase ... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jess D. Edison United States 17 1.0k 448 332 194 178 39 1.5k
Heidi Kokkonen Sweden 14 927 0.9× 371 0.8× 350 1.1× 187 1.0× 98 0.6× 19 1.2k
Moud R. Habibuw Netherlands 6 1.4k 1.3× 560 1.3× 387 1.2× 166 0.9× 108 0.6× 6 1.8k
Alf Kastbom Sweden 28 1.3k 1.2× 645 1.4× 574 1.7× 442 2.3× 146 0.8× 84 2.0k
K. N. Verpoort Netherlands 13 1.5k 1.5× 760 1.7× 378 1.1× 114 0.6× 113 0.6× 17 1.8k
Masao Nawata Japan 24 1.2k 1.2× 294 0.7× 536 1.6× 126 0.6× 255 1.4× 47 1.8k
P. Nicaise‐Roland France 24 931 0.9× 156 0.3× 396 1.2× 111 0.6× 166 0.9× 56 1.5k
Leonor Barile-Fabris Mexico 13 815 0.8× 206 0.5× 415 1.3× 79 0.4× 148 0.8× 30 1.2k
Dimitrios Makrygiannakis Sweden 10 637 0.6× 185 0.4× 379 1.1× 192 1.0× 74 0.4× 12 1.1k
Simona Truglia Italy 20 852 0.8× 180 0.4× 435 1.3× 209 1.1× 149 0.8× 82 1.3k
C Tănăsescu Romania 11 1.3k 1.2× 652 1.5× 1.0k 3.0× 86 0.4× 181 1.0× 41 1.8k

Countries citing papers authored by Jess D. Edison

Since Specialization
Citations

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

Fields of papers citing papers by Jess D. Edison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jess D. Edison

This figure shows the co-authorship network connecting the top 25 collaborators of Jess D. Edison. A scholar is included among the top collaborators of Jess D. Edison 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 Jess D. Edison. Jess D. Edison 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
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Mikuls, Ted R., Kevin D. Deane, Harlan Sayles, et al.. (2023). Serum antibodies to periodontal pathogens prior to rheumatoid arthritis diagnosis: A case-control study. Seminars in Arthritis and Rheumatism. 59. 152176–152176. 6 indexed citations
4.
Peterson, Ryan, Marie L. Feser, Mark C. Parish, et al.. (2022). Antibodies to Citrullinated Protein Antigens, Rheumatoid Factor Isotypes and the Shared Epitope and the Near-Term Development of Clinically-Apparent Rheumatoid Arthritis. Frontiers in Immunology. 13. 916277–916277. 6 indexed citations
5.
Chu, Su H., Jing Cui, Jeffrey A. Sparks, et al.. (2020). Circulating plasma metabolites and risk of rheumatoid arthritis in the Nurses’ Health Study. Lara D. Veeken. 59(11). 3369–3379. 23 indexed citations
6.
Edison, Jess D., et al.. (2020). Interstitial Lung Disease and Myositis in a Patient With Antisynthetase Syndrome and PL12 and Ro52 Co-positivity in a Retired Medical Officer. Military Medicine. 186(7-8). e836–e839. 1 indexed citations
7.
Burbelo, Peter D., Meryl Waldman, Jess D. Edison, et al.. (2019). Autoantibodies are present before the clinical diagnosis of systemic sclerosis. PLoS ONE. 14(3). e0214202–e0214202. 56 indexed citations
8.
Hughes, James B., et al.. (2019). Systemic sclerosis medications and risk of scleroderma renal crisis. BMC Nephrology. 20(1). 279–279. 12 indexed citations
9.
Moratz, Chantal, et al.. (2018). Regulation of systemic tissue injury by coagulation inhibitors in B6.MRL/lpr autoimmune mice. Clinical Immunology. 197. 169–178. 2 indexed citations
10.
Nee, Robert, et al.. (2018). Risk Factors for Future Scleroderma Renal Crisis at Systemic Sclerosis Diagnosis. The Journal of Rheumatology. 46(1). 85–92. 31 indexed citations
11.
Landau, Mark E., et al.. (2016). Iatrogenic Thenar Eminence Atrophy After Botox A Injection for Secondary Raynaud Phenomenon. JCR Journal of Clinical Rheumatology. 22(7). 396–397. 3 indexed citations
12.
Edison, Jess D., et al.. (2016). Inhibition of Sphingosine-1-phosphate receptors in ischemia reperfusion injured autoimmunity-prone mice. Cellular Immunology. 311. 63–70. 2 indexed citations
13.
Robbins, Rachel & Jess D. Edison. (2016). Milk of Urate Bulla. New England Journal of Medicine. 375(2). 162–162. 1 indexed citations
14.
Gan, Ryan W., Leendert A. Trouw, Jing Shi, et al.. (2015). Anti-carbamylated Protein Antibodies Are Present Prior to Rheumatoid Arthritis and Are Associated with Its Future Diagnosis. The Journal of Rheumatology. 42(4). 572–579. 111 indexed citations
15.
Olson, Stephen W., et al.. (2013). Elevated Subclinical Double-Stranded DNA Antibodies and Future Proliferative Lupus Nephritis. Clinical Journal of the American Society of Nephrology. 8(10). 1702–1708. 36 indexed citations
16.
Sokolove, Jeremy, Kevin D. Deane, Lauren J. Lahey, et al.. (2012). Autoantibody Epitope Spreading in the Pre-Clinical Phase Predicts Progression to Rheumatoid Arthritis. PLoS ONE. 7(5). e35296–e35296. 399 indexed citations breakdown →
17.
Keith, Michael P., Jess D. Edison, & William R. Gilliland. (2012). Progress Toward Personalized Treatment of Rheumatoid Arthritis. Clinical Pharmacology & Therapeutics. 92(4). 440–442. 7 indexed citations
18.
Deane, Kevin D., Colin O’Donnell, Wolfgang Hueber, et al.. (2010). The number of elevated cytokines and chemokines in preclinical seropositive rheumatoid arthritis predicts time to diagnosis in an age‐dependent manner. Arthritis & Rheumatism. 62(11). 3161–3172. 188 indexed citations
19.
Kolfenbach, Jason, Kevin D. Deane, Lezlie A. Derber, et al.. (2010). Autoimmunity to peptidyl arginine deiminase type 4 precedes clinical onset of rheumatoid arthritis. Arthritis & Rheumatism. 62(9). 2633–2639. 114 indexed citations
20.
Edison, Jess D., et al.. (2005). Neuropathic Osteoarthropathy of the Shoulder. JCR Journal of Clinical Rheumatology. 11(6). 333–334. 8 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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