Steven A. Gilbert

1.4k total citations
22 papers, 990 citations indexed

About

Steven A. Gilbert is a scholar working on Immunology, Rheumatology and Statistics and Probability. According to data from OpenAlex, Steven A. Gilbert has authored 22 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Rheumatology and 4 papers in Statistics and Probability. Recurrent topics in Steven A. Gilbert's work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Statistical Methods in Clinical Trials (3 papers). Steven A. Gilbert is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Statistical Methods in Clinical Trials (3 papers). Steven A. Gilbert collaborates with scholars based in United States, Sweden and France. Steven A. Gilbert's co-authors include Anna A. Sher, Diane L. Marshall, Jan Astermark, Erik Berntorp, Sharyne Donfield, Donna DiMichele, Jennifer A. Waters, A. Gringeri, J. P. Granger and Jeffrey S. Gilbert and has published in prestigious journals such as Blood, Stroke and Biochemical Journal.

In The Last Decade

Steven A. Gilbert

19 papers receiving 945 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven A. Gilbert United States 11 427 151 149 148 101 22 990
Mohammad Ali Jalali Far Iran 15 93 0.2× 99 0.7× 87 0.6× 245 1.7× 16 0.2× 55 730
Shuguang Liu China 17 165 0.4× 33 0.2× 32 0.2× 54 0.4× 4 0.0× 60 803
Keisuke Toyama Japan 14 204 0.5× 15 0.1× 80 0.5× 205 1.4× 14 0.1× 60 943
Heather Rogers United States 14 287 0.7× 26 0.2× 128 0.9× 55 0.4× 17 0.2× 24 871
Michael Schäffer United States 21 88 0.2× 126 0.8× 110 0.7× 107 0.7× 7 0.1× 47 1.3k
Yuchao Zhang China 17 122 0.3× 78 0.5× 93 0.6× 70 0.5× 5 0.0× 40 1.1k
Diane E. Miller United States 13 70 0.2× 18 0.1× 98 0.7× 92 0.6× 29 0.3× 19 2.3k
Yunosuke Matsuura Japan 17 55 0.1× 49 0.3× 26 0.2× 101 0.7× 10 0.1× 58 850
M. Carlson United States 19 42 0.1× 53 0.4× 54 0.4× 160 1.1× 6 0.1× 44 2.4k
Alexandra H. Marshall Canada 12 246 0.6× 66 0.4× 28 0.2× 92 0.6× 4 0.0× 17 754

Countries citing papers authored by Steven A. Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Steven A. Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven A. Gilbert. 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 Steven A. Gilbert. The network helps show where Steven A. Gilbert may publish in the future.

Co-authorship network of co-authors of Steven A. Gilbert

This figure shows the co-authorship network connecting the top 25 collaborators of Steven A. Gilbert. A scholar is included among the top collaborators of Steven A. Gilbert 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 Steven A. Gilbert. Steven A. Gilbert 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
1.
Danto, Spencer I., M.P. Salganik, Anindita Banerjee, et al.. (2025). Efficacy and Safety of Zimlovisertib, Ritlecitinib, and Tofacitinib, Alone and in Combination, in Patients With Moderate to Severe Rheumatoid Arthritis and an Inadequate Response to Methotrexate. Arthritis & Rheumatology. 77(10). 1337–1348. 2 indexed citations
2.
Houghton, Lesley A., et al.. (2025). Clinical Trial: Study to Investigate the Efficacy and Safety of the Alpha‐2‐Delta Ligand PD‐217,014 in Patients With Irritable Bowel Syndrome. Alimentary Pharmacology & Therapeutics. 61(5). 803–813. 1 indexed citations
3.
4.
Keller, Annett, et al.. (2024). Quality Tolerance Limits: A General Guidance for Parameter Selection and Threshold Setting. Therapeutic Innovation & Regulatory Science. 58(3). 423–430.
5.
Danto, Spencer I., Nikolaos Tsamandouras, Padma Reddy, et al.. (2024). Exploratory pharmacodynamics and efficacy of PF-06817024 in a Phase 1 study of patients with chronic rhinosinusitis and atopic dermatitis. Allergy Asthma and Clinical Immunology. 20(1). 46–46. 1 indexed citations
6.
Colloca, Luana, Robert H. Dworkin, John T. Farrar, et al.. (2023). Predicting Treatment Responses in Patients With Osteoarthritis: Results From Two Phase III Tanezumab Randomized Clinical Trials. Clinical Pharmacology & Therapeutics. 113(4). 878–886. 9 indexed citations
7.
8.
Qu, Yongming, Junxiang Luo, Elena Polverejan, et al.. (2023). CITIES: Clinical trials with intercurrent events simulator. Biometrical Journal. 66(1). e2200103–e2200103. 2 indexed citations
9.
Chevalier, Soazig, et al.. (2021). Historical Benchmarks for Quality Tolerance Limits Parameters in Clinical Trials. Therapeutic Innovation & Regulatory Science. 55(6). 1265–1273. 5 indexed citations
10.
Forman, Seth, David M. Pariser, Yves Poulin, et al.. (2020). TYK2/JAK1 Inhibitor PF-06700841 in Patients with Plaque Psoriasis: Phase IIa, Randomized, Double-Blind, Placebo-Controlled Trial. Journal of Investigative Dermatology. 140(12). 2359–2370.e5. 77 indexed citations
11.
12.
Gale, Jeremy D., Steven A. Gilbert, Samuel S. Blumenthal, et al.. (2018). Effect of PF-04634817, an Oral CCR2/5 Chemokine Receptor Antagonist, on Albuminuria in Adults with Overt Diabetic Nephropathy. Kidney International Reports. 3(6). 1316–1327. 38 indexed citations
13.
Bridges, James P., et al.. (2009). Oxidative Stress Contributes to Soluble Fms-Like Tyrosine Kinase-1 Induced Vascular Dysfunction in Pregnant Rats. American Journal of Hypertension. 22(5). 564–568. 114 indexed citations
14.
Astermark, Jan, Sharyne Donfield, Donna DiMichele, et al.. (2009). Arandomized comparison of bypassing agents in hemophilia complicated by an inhibitor: the FEIBA NovoSeven Comparative (FENOC) Study.. Lund University Publications (Lund University). 54(5). 35–35. 70 indexed citations
15.
Donfield, Sharyne, et al.. (2008). Value added: increasing the power to assess treatment outcome in joint haemorrhages. Haemophilia. 14(2). 276–280. 9 indexed citations
16.
Goldstein, Larry B., Pierre Amarenco, Marian P. LaMonte, et al.. (2008). Relative Effects of Statin Therapy on Stroke and Cardiovascular Events in Men and Women. Stroke. 39(9). 2444–2448. 60 indexed citations
17.
Gilbert, Steven A. & Ling Chen. (2007). Using SAS ® Proc NLMIXED for Robust Regression.
18.
Astermark, Jan, Sharyne Donfield, Donna DiMichele, et al.. (2006). A randomized comparison of bypassing agents in hemophilia complicated by an inhibitor: the FEIBA NovoSeven Comparative (FENOC) Study. Blood. 109(2). 546–551. 330 indexed citations
19.
Sher, Anna A., Diane L. Marshall, & Steven A. Gilbert. (2000). Competition between Native Populus deltoides and Invasive Tamarix ramosissima and the Implications for Reestablishing Flooding Disturbance. Conservation Biology. 14(6). 1744–1754. 129 indexed citations
20.
Gilbert, Steven A. & Ronald Christensen. (1999). Statistical Tests for Mixed Linear Models by. Journal of Quality Technology. 31(4). 469–470. 12 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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