Emily C. Baechler

8.2k total citations · 2 hit papers
34 papers, 4.6k citations indexed

About

Emily C. Baechler is a scholar working on Rheumatology, Immunology and Epidemiology. According to data from OpenAlex, Emily C. Baechler has authored 34 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Rheumatology, 24 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Emily C. Baechler's work include Systemic Lupus Erythematosus Research (20 papers), T-cell and B-cell Immunology (17 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Emily C. Baechler is often cited by papers focused on Systemic Lupus Erythematosus Research (20 papers), T-cell and B-cell Immunology (17 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Emily C. Baechler collaborates with scholars based in United States, Argentina and United Kingdom. Emily C. Baechler's co-authors include Timothy W. Behrens, Peter K. Gregersen, Ward Ortmann, Franak Batliwalla, Karl J. Espe, Patrick M. Gaffney, Vivek Kapur, George Karypis, Katherine B. Shark and William J. Grande and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Emily C. Baechler

34 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interferon-inducible gene expression signature in peripheral blood cells of patients with severe lupus

2003 1.7k citations Emily C. Baechler, Franak Batliwalla et al. profile →
A common haplotype of interferon regulatory factor 5 (IRF5) regulates splicing and expression and is associated with increased risk of systemic lupus erythematosus

2006 502 citations Robert Graham, Sergey V. Kozyrev et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily C. Baechler United States	24	2.8k	2.6k	1.0k	850	771	34	4.6k
Wolfgang Hueber United States	23	1.9k 0.7×	1.5k 0.6×	992 1.0×	341 0.4×	296 0.4×	46	3.9k
Jane A. Gross United States	23	4.4k 1.6×	669 0.3×	1.1k 1.0×	1.3k 1.5×	429 0.6×	31	6.2k
Gerda Horst Netherlands	40	1.6k 0.6×	1.3k 0.5×	1.8k 1.8×	295 0.3×	368 0.5×	88	4.6k
Chungwen Wei United States	24	2.3k 0.8×	773 0.3×	577 0.6×	323 0.4×	304 0.4×	35	3.2k
Stacey R. Dillon United States	32	3.2k 1.1×	975 0.4×	680 0.7×	606 0.7×	173 0.2×	73	5.2k
Cristiana Guiducci United States	28	4.6k 1.6×	895 0.3×	1.5k 1.4×	1.3k 1.5×	321 0.4×	45	5.7k
Rizgar A. Mageed United Kingdom	32	2.0k 0.7×	882 0.3×	638 0.6×	292 0.3×	232 0.3×	112	3.2k
Rosa Sorrentino Italy	31	2.1k 0.8×	1.1k 0.4×	626 0.6×	199 0.2×	429 0.6×	110	3.6k
Katherine Siminovitch Canada	26	1.0k 0.4×	934 0.4×	917 0.9×	331 0.4×	514 0.7×	49	3.5k
Dhavalkumar D. Patel United States	30	2.3k 0.8×	511 0.2×	793 0.8×	1.7k 2.0×	328 0.4×	53	4.0k

Countries citing papers authored by Emily C. Baechler

Since Specialization

Citations

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

Fields of papers citing papers by Emily C. Baechler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily C. Baechler. 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 Emily C. Baechler. The network helps show where Emily C. Baechler may publish in the future.

Co-authorship network of co-authors of Emily C. Baechler

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

All Works

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20 of 20 papers shown

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

Padilla, Consuelo M. López de, Cynthia S. Crowson, Richard S. Pendegraft, et al.. (2016). Gene Expression Profiling in Blood and Affected Muscle Tissues Reveals Differential Activation Pathways in Patients with New-onset Juvenile and Adult Dermatomyositis. The Journal of Rheumatology. 44(1). 117–124. 23 indexed citations

Olazagasti, Jeannette M., et al.. (2015). Adipokine gene expression in peripheral blood of adult and juvenile dermatomyositis patients and their relation to clinical parameters and disease activity measures. Journal of Inflammation. 12(1). 29–29. 16 indexed citations

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

Dunmire, Samantha K., Oludare A. Odumade, David O. Schmeling, et al.. (2014). Primary EBV Infection Induces an Expression Profile Distinct from Other Viruses but Similar to Hemophagocytic Syndromes. PLoS ONE. 9(1). e85422–e85422. 37 indexed citations

Padilla, Consuelo M. López de, Kelly T. McNallan, Cynthia S. Crowson, et al.. (2013). BAFF Expression Correlates with Idiopathic Inflammatory Myopathy Disease Activity Measures and Autoantibodies. The Journal of Rheumatology. 40(3). 294–302. 37 indexed citations

Bauer, Jason W., Hatice Bilgiç, & Emily C. Baechler. (2009). Gene-expression profiling in rheumatic disease: tools and therapeutic potential. Nature Reviews Rheumatology. 5(5). 257–265. 28 indexed citations

Bilgiç, Hatice, Steven R. Ytterberg, Shreyasee Amin, et al.. (2009). Interleukin‐6 and type I interferon–regulated genes and chemokines mark disease activity in dermatomyositis. Arthritis & Rheumatism. 60(11). 3436–3446. 192 indexed citations

Lessard, Christopher J., Emily C. Baechler, Patrick M. Gaffney, et al.. (2009). Peripheral blood gene expression profiling in Sjögren's syndrome. Genes and Immunity. 10(4). 285–296. 187 indexed citations

10.

Baechler, Emily C., Jason W. Bauer, Ward Ortmann, et al.. (2007). An Interferon Signature in the Peripheral Blood of Dermatomyositis Patients is Associated with Disease Activity. Molecular Medicine. 13(1-2). 59–68. 232 indexed citations

11.

Gaffney, Patrick M., Kathy L. Moser, & Emily C. Baechler. (2007). Defining a new molecular basis of systemic lupus erythematosus through transcriptional profiling. Expert Review of Clinical Immunology. 3(6). 913–923. 1 indexed citations

12.

Graham, Robert, Sergey V. Kozyrev, Emily C. Baechler, et al.. (2006). A common haplotype of interferon regulatory factor 5 (IRF5) regulates splicing and expression and is associated with increased risk of systemic lupus erythematosus. Nature Genetics. 38(5). 550–555. 502 indexed citations breakdown →

13.

Bauer, Jason W., Emily C. Baechler, Michelle Petri, et al.. (2006). Elevated Serum Levels of Interferon-Regulated Chemokines Are Biomarkers for Active Human Systemic Lupus Erythematosus. PLoS Medicine. 3(12). e491–e491. 245 indexed citations

14.

Baechler, Emily C., Franak Batliwalla, Ann M. Reed, et al.. (2006). Gene expression profiling in human autoimmunity. Immunological Reviews. 210(1). 120–137. 78 indexed citations

15.

Batliwalla, Franak, Wentian Li, Christopher T. Ritchlin, et al.. (2005). Microarray Analyses of Peripheral Blood Cells Identifies Unique Gene Expression Signature in Psoriatic Arthritis. Molecular Medicine. 11(1-12). 21–29. 103 indexed citations

16.

Behrens, Timothy W., Robert Graham, Chieko Kyogoku, et al.. (2005). Progress towards Understanding the Genetic Pathogenesis of Systemic Lupus Erythematosus. Novartis Foundation symposium. 267. 145–164. 10 indexed citations

17.

Moser, Kathy L., et al.. (2004). The Use of Microarrays to Study Autoimmunity. Journal of Investigative Dermatology Symposium Proceedings. 9(1). 18–22. 16 indexed citations

18.

Baechler, Emily C., Franak Batliwalla, George Karypis, et al.. (2004). Expression levels for many genes in human peripheral blood cells are highly sensitive to ex vivo incubation. Genes and Immunity. 5(5). 347–353. 121 indexed citations

19.

Baechler, Emily C., Peter K. Gregersen, & Timothy W. Behrens. (2004). The emerging role of interferon in human systemic lupus erythematosus. Current Opinion in Immunology. 16(6). 801–807. 166 indexed citations

20.

Graham, Robert, Carl D. Langefeld, Patrick M. Gaffney, et al.. (2001). Genetic linkage and transmission disequilibrium of marker haplotypes at chromosome 1q41 in human systemic lupus erythematosus. Arthritis Research & Therapy. 3(5). 299–305. 32 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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