Elizabeth Taylor‐Albert

796 total citations
9 papers, 617 citations indexed

About

Elizabeth Taylor‐Albert is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Elizabeth Taylor‐Albert has authored 9 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology. Recurrent topics in Elizabeth Taylor‐Albert's work include Systemic Lupus Erythematosus Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and T-cell and B-cell Immunology (3 papers). Elizabeth Taylor‐Albert is often cited by papers focused on Systemic Lupus Erythematosus Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and T-cell and B-cell Immunology (3 papers). Elizabeth Taylor‐Albert collaborates with scholars based in United States and Argentina. Elizabeth Taylor‐Albert's co-authors include Judith A. James, Kenneth M. Kaufman, John B. Harley, A. Darise Farris, Thomas J A Lehman, Morris Reichlin, Haraldine A. Stafford, Warren H. Toews, Lela A. Lee and Edward D. Overholt and has published in prestigious journals such as Journal of Clinical Investigation, PEDIATRICS and Arthritis & Rheumatism.

In The Last Decade

Elizabeth Taylor‐Albert

7 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elizabeth Taylor‐Albert United States	6	393	339	172	122	118	9	617
Cristina Tommasi Italy	11	321 0.8×	271 0.8×	143 0.8×	80 0.7×	58 0.5×	17	724
W E Ollier United Kingdom	15	562 1.4×	380 1.1×	167 1.0×	49 0.4×	112 0.9×	20	897
G. Alm Sweden	9	256 0.7×	389 1.1×	67 0.4×	199 1.6×	37 0.3×	14	656
Aurélie Ambrosi Sweden	13	339 0.9×	471 1.4×	93 0.5×	87 0.7×	49 0.4×	18	862
Rekha Parmar United Kingdom	12	416 1.1×	387 1.1×	83 0.5×	75 0.6×	55 0.5×	23	779
L. Matarán Spain	13	252 0.6×	272 0.8×	120 0.7×	62 0.5×	40 0.3×	17	551
T Nishimaki Japan	13	224 0.6×	218 0.6×	67 0.4×	41 0.3×	150 1.3×	42	555
Mary M. Stimmler United States	7	325 0.8×	267 0.8×	61 0.4×	51 0.4×	37 0.3×	10	509
B Morel-Fourrier France	6	292 0.7×	505 1.5×	158 0.9×	106 0.9×	28 0.2×	7	700
M F Gourley United States	7	566 1.4×	477 1.4×	280 1.6×	58 0.5×	31 0.3×	10	887

Countries citing papers authored by Elizabeth Taylor‐Albert

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth Taylor‐Albert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth Taylor‐Albert. 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 Elizabeth Taylor‐Albert. The network helps show where Elizabeth Taylor‐Albert may publish in the future.

Co-authorship network of co-authors of Elizabeth Taylor‐Albert

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

All Works

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9 of 9 papers shown

Ruddy, Kathryn J., et al.. (2025). Rheumatic Immune-Related Adverse Events: Immune Checkpoint Inhibitor Therapy and Ramifications for Health Disparities. Cureus. 17(8). e90585–e90585.

Hübscher, O, et al.. (1999). Prevalence of autoantibodies to ribosomal P proteins in juvenile-onset systemic lupus erythematosus compared with the adult disease. Arthritis & Rheumatism. 42(1). 69–75. 79 indexed citations

Neas, Barbara R., et al.. (1998). The presence of masked antiribosomal P autoantibodies in healthy children. Arthritis & Rheumatism. 41(1). 33–40. 23 indexed citations

Stafford, Haraldine A., et al.. (1998). Reply. Arthritis & Rheumatism. 41(11). 2090–2090. 1 indexed citations

Neas, Barbara R., et al.. (1998). The presence of masked antiribosomal P autoantibodies in healthy children. Arthritis & Rheumatism. 41(1). 33–40. 1 indexed citations

James, Judith A., Kenneth M. Kaufman, A. Darise Farris, et al.. (1997). An increased prevalence of Epstein-Barr virus infection in young patients suggests a possible etiology for systemic lupus erythematosus.. Journal of Clinical Investigation. 100(12). 3019–3026. 393 indexed citations

Taylor‐Albert, Elizabeth, Morris Reichlin, Warren H. Toews, Edward D. Overholt, & Lela A. Lee. (1997). Delayed Dilated Cardiomyopathy as a Manifestation of Neonatal Lupus: Case Reports, Autoantibody Analysis, and Management. PEDIATRICS. 99(5). 733–735. 51 indexed citations

Schnitz, William, Elizabeth Taylor‐Albert, Ira N. Targoff, Morris Reichlin, & R. Hal Scofield. (1996). Anti-PM/Scl autoantibodies in patients without clinical polymyositis or scleroderma.. PubMed. 23(10). 1729–33. 17 indexed citations

Reichlin, M, Andrew Martin, Elizabeth Taylor‐Albert, et al.. (1994). Lupus autoantibodies to native DNA cross-react with the A and D SnRNP polypeptides.. Journal of Clinical Investigation. 93(1). 443–449. 52 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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