William J. McCune

442 total citations
10 papers, 350 citations indexed

About

William J. McCune is a scholar working on Rheumatology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, William J. McCune has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 3 papers in Pathology and Forensic Medicine and 2 papers in Molecular Biology. Recurrent topics in William J. McCune's work include Systemic Lupus Erythematosus Research (7 papers), Multiple Sclerosis Research Studies (3 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). William J. McCune is often cited by papers focused on Systemic Lupus Erythematosus Research (7 papers), Multiple Sclerosis Research Studies (3 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). William J. McCune collaborates with scholars based in United States, Sweden and Australia. William J. McCune's co-authors include Emily E. Lewis, Emily C. Somers, Eric A. Shelden, Mariana J. Kaplan, Bruce C. Richardson, Patricia Cagnoli, Pia C. Sundgren, Tobias Schmidt‐Wilcke, Anne Lotz and Thomas Schultz and has published in prestigious journals such as The Journal of Immunology, Quality of Life Research and Molecular Medicine.

In The Last Decade

William J. McCune

10 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William J. McCune United States	8	189	125	97	55	44	10	350
Tian Wang China	12	63 0.3×	108 0.9×	83 0.9×	25 0.5×	29 0.7×	43	388
Caleb Cornaby United States	12	208 1.1×	236 1.9×	88 0.9×	29 0.5×	28 0.6×	25	535
Masao Yukioka Japan	12	240 1.3×	115 0.9×	123 1.3×	20 0.4×	41 0.9×	44	586
Edsaúl Emilio Pérez-Guerrero Mexico	11	90 0.5×	110 0.9×	68 0.7×	19 0.3×	13 0.3×	35	331
Lihua Zhang China	12	75 0.4×	41 0.3×	79 0.8×	16 0.3×	15 0.3×	36	335
Nadine Wilke Germany	9	28 0.1×	69 0.6×	118 1.2×	31 0.6×	39 0.9×	20	339
Jenny Dave United States	6	81 0.4×	153 1.2×	71 0.7×	19 0.3×	18 0.4×	17	328
Maria Juárez United Kingdom	10	238 1.3×	159 1.3×	124 1.3×	23 0.4×	96 2.2×	20	506
W H Koh Singapore	13	394 2.1×	201 1.6×	36 0.4×	8 0.1×	54 1.2×	20	513
Katarzyna Pawlak‐Buś Poland	9	144 0.8×	93 0.7×	52 0.5×	13 0.2×	21 0.5×	47	308

Countries citing papers authored by William J. McCune

Since Specialization

Citations

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

Fields of papers citing papers by William J. McCune

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. McCune. 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 William J. McCune. The network helps show where William J. McCune may publish in the future.

Co-authorship network of co-authors of William J. McCune

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

All Works

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10 of 10 papers shown

Bhattacharya, Jyotsna, Karalyn Pappas, Cynthia Aranow, et al.. (2018). Serologic features of cohorts with variable genetic risk for systemic lupus erythematosus. Molecular Medicine. 24(1). 24–24. 12 indexed citations

McCune, William J., et al.. (2018). Hydroxychloroquine: balancing the need to maintain therapeutic levels with ocular safety: an update. Current Opinion in Rheumatology. 30(3). 249–255. 36 indexed citations

Nagaraja, Vivek, Constance A. Mara, Puja Khanna, et al.. (2017). Establishing clinical severity for PROMIS® measures in adult patients with rheumatic diseases. Quality of Life Research. 27(3). 755–764. 44 indexed citations

Harris, Richard E., et al.. (2016). Multi-voxel proton magnetic resonance spectroscopy changes in neuropsychiatric lupus patients. South African Journal of Radiology. 20(1). 2 indexed citations

Schmidt‐Wilcke, Tobias, Patricia Cagnoli, Thomas Schultz, et al.. (2014). Diminished white matter integrity in patients with systemic lupus erythematosus. NeuroImage Clinical. 5. 291–297. 49 indexed citations

McCune, William J., et al.. (2013). A 50-year old woman with nasal congestion, cough, and dyspnea. Allergy and Asthma Proceedings. 34(2). 188–192. 1 indexed citations

Cagnoli, Patricia, Richard E. Harris, Suzan Lowe, et al.. (2013). Reduced Insular Glutamine and N-Acetylaspartate in Systemic Lupus Erythematosus. Academic Radiology. 20(10). 1286–1296. 27 indexed citations

Wang, Page I., Patricia Cagnoli, William J. McCune, et al.. (2012). Perfusion-weighted MR Imaging in Cerebral Lupus Erythematosus. Academic Radiology. 19(8). 965–970. 29 indexed citations

Blaivas, Mila, et al.. (2004). Degos' disease mimicking vasculitis. Arthritis Care & Research. 51(3). 498–500. 8 indexed citations

10.

Kaplan, Mariana J., Emily E. Lewis, Eric A. Shelden, et al.. (2002). The Apoptotic Ligands TRAIL, TWEAK, and Fas Ligand Mediate Monocyte Death Induced by Autologous Lupus T Cells. The Journal of Immunology. 169(10). 6020–6029. 142 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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