Nancy Silliman

1.1k total citations
10 papers, 578 citations indexed

About

Nancy Silliman is a scholar working on Pathology and Forensic Medicine, Dermatology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Nancy Silliman has authored 10 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 3 papers in Dermatology and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Nancy Silliman's work include Meta-analysis and systematic reviews (3 papers), Dermatologic Treatments and Research (3 papers) and Systemic Sclerosis and Related Diseases (3 papers). Nancy Silliman is often cited by papers focused on Meta-analysis and systematic reviews (3 papers), Dermatologic Treatments and Research (3 papers) and Systemic Sclerosis and Related Diseases (3 papers). Nancy Silliman collaborates with scholars based in United States, United Kingdom and Sweden. Nancy Silliman's co-authors include Christopher P. Denton, Daniel E. Furst, Maureen D. Mayes, James R. Seibold, James B. Streisand, Peter A. Merkel, Ariane L. Herrick, Vivien Hsu, Dinesh Khanna and Douglas J. Veale and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the American College of Cardiology and Biometrika.

In The Last Decade

Nancy Silliman

10 papers receiving 565 citations

Peers

Nancy Silliman

PFM

DERMA

PRM

IMMUN

Tatiana Nevskaya Canada

Ikuko Hayakawa Japan

N. Hunzelmann Germany

M.W. Myskow United Kingdom

Faye N. Hant United States

I. Koetter Germany

Zarbo Rj United States

Dimitri Salameire France

Satoshi Ebata Japan

Nazan Özsan Türkiye

Tatiana Nevskaya Canada

Nancy Silliman

293 ×1.0

PFM

123 ×0.9

DERMA

132 ×0.9

146 ×1.1

PRM

162 ×1.4

IMMUN

Citations per year, relative to Nancy Silliman Nancy Silliman (= 1×) peers Tatiana Nevskaya

Countries citing papers authored by Nancy Silliman

Since Specialization

Citations

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

Fields of papers citing papers by Nancy Silliman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy Silliman. 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 Nancy Silliman. The network helps show where Nancy Silliman may publish in the future.

Co-authorship network of co-authors of Nancy Silliman

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy Silliman. A scholar is included among the top collaborators of Nancy Silliman 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 Nancy Silliman. Nancy Silliman 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

Shilling, Rebecca A., Verena Karsten, Nancy Silliman, et al.. (2020). STUDY DESIGN AND RATIONALE OF HELIOS-B: A PHASE 3 STUDY TO EVALUATE THE CLINICAL EFFICACY AND SAFETY OF VUTRISIRAN IN PATIENTS WITH ATTR AMYLOIDOSIS WITH CARDIOMYOPATHY. Journal of the American College of Cardiology. 75(11). 3579–3579. 11 indexed citations

Burton, Barbara K., Nancy Silliman, & Sachin Marulkar. (2017). Progression of liver disease in children and adults with lysosomal acid lipase deficiency. Current Medical Research and Opinion. 33(7). 1211–1214. 11 indexed citations

Merkel, Peter A., Nancy Silliman, Philip J. Clements, et al.. (2012). Patterns and predictors of change in outcome measures in clinical trials in scleroderma: An individual patient meta‐analysis of 629 subjects with diffuse cutaneous systemic sclerosis. Arthritis & Rheumatism. 64(10). 3420–3429. 53 indexed citations

Merkel, Peter A., Nancy Silliman, Christopher P. Denton, et al.. (2008). Validity, reliability, and feasibility of durometer measurements of scleroderma skin disease in a multicenter treatment trial. Arthritis Care & Research. 59(5). 699–705. 80 indexed citations

Denton, Christopher P., Peter A. Merkel, Daniel E. Furst, et al.. (2006). Recombinant human anti–transforming growth factor β1 antibody therapy in systemic sclerosis: A multicenter, randomized, placebo‐controlled phase I/II trial of CAT‐192. Arthritis & Rheumatism. 56(1). 323–333. 353 indexed citations

Silliman, Nancy, et al.. (2001). Helicobacter pylori and Early Duodenal Ulcer Status Post‐Treatment: a Review. Helicobacter. 6(2). 84–92. 5 indexed citations

Silliman, Nancy. (1997). Hierarchical Selection Models with Applications in Meta-Analysis. Journal of the American Statistical Association. 92(439). 926–936. 35 indexed citations

Silliman, Nancy. (1997). Nonparametric classes of weight functions to model publication bias. Biometrika. 84(4). 909–918. 17 indexed citations

Silliman, Nancy. (1997). Hierarchical Selection Models With Applications in Meta-Analysis. Journal of the American Statistical Association. 92(439). 926–926. 6 indexed citations

10.

Greenhouse, Joel B. & Nancy Silliman. (1996). APPLICATIONS OF A MIXTURE SURVIVAL MODEL WITH COVARIATES TO THE ANALYSIS OF A DEPRESSION PREVENTION TRIAL. Statistics in Medicine. 15(19). 2077–2094. 7 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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