Ann Madsen

1.6k total citations
49 papers, 1.2k citations indexed

About

Ann Madsen is a scholar working on Rheumatology, Immunology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ann Madsen has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 7 papers in Immunology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ann Madsen's work include Rheumatoid Arthritis Research and Therapies (8 papers), Biosimilars and Bioanalytical Methods (7 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). Ann Madsen is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (8 papers), Biosimilars and Bioanalytical Methods (7 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). Ann Madsen collaborates with scholars based in United States, Canada and United Kingdom. Ann Madsen's co-authors include H. Mortensen, A. E. Larsen, P. Krogh, Folmer Elling, Elizabeth Begier, Stanley Cohen, B. Hald, Jeffrey R. Curtis, Uffe Ravnskov and Simon Dagenais and has published in prestigious journals such as Academy of Management Review, American Journal of Epidemiology and American Journal of Public Health.

In The Last Decade

Ann Madsen

45 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Madsen United States 17 343 249 138 134 126 49 1.2k
Young J. Lee South Korea 21 213 0.6× 32 0.1× 214 1.6× 148 1.1× 284 2.3× 50 1.7k
Liping Yuan China 21 54 0.2× 110 0.4× 73 0.5× 54 0.4× 62 0.5× 67 1.3k
Yanhong Wang China 20 168 0.5× 37 0.1× 185 1.3× 34 0.3× 50 0.4× 81 998
J. L. Stanford United States 22 94 0.3× 98 0.4× 311 2.3× 28 0.2× 228 1.8× 41 2.1k
Jae Wook Lee South Korea 18 66 0.2× 40 0.2× 166 1.2× 455 3.4× 218 1.7× 153 1.5k
Gourdas Choudhuri India 24 117 0.3× 43 0.2× 69 0.5× 29 0.2× 296 2.3× 82 1.7k
Richard Sallie United States 21 136 0.4× 84 0.3× 68 0.5× 114 0.9× 135 1.1× 48 2.4k
Ayşe Y. Demir Netherlands 18 36 0.1× 72 0.3× 186 1.3× 352 2.6× 35 0.3× 52 1.1k
Mitchell Watnik United States 19 203 0.6× 106 0.4× 159 1.2× 15 0.1× 64 0.5× 32 1.6k
M Sirtori Italy 27 169 0.5× 67 0.3× 356 2.6× 99 0.7× 70 0.6× 57 3.5k

Countries citing papers authored by Ann Madsen

Since Specialization
Citations

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

Fields of papers citing papers by Ann Madsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Madsen

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Madsen. A scholar is included among the top collaborators of Ann Madsen 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 Ann Madsen. Ann Madsen 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.
Batech, Michael, Ann Madsen, Nicolle M. Gatto, et al.. (2025). Combining Real‐World and Clinical Trial Data Through Privacy‐Preserving Record Linkage: Opportunities and Challenges—A Narrative Review. Health Science Reports. 8(9). e71272–e71272.
3.
Boehme, Amelia K., Raymond A. Harvey, Ann Madsen, et al.. (2024). An observational post-authorization study to assess the effectiveness of a single dose Ad26.COV2.S for the prevention of COVID-19 using real-world data. Frontiers in Public Health. 12. 1501919–1501919.
4.
Curtis, Jeffrey R., Xiaofeng Zhou, David T. Rubin, et al.. (2021). Characteristics, Comorbidities, and Outcomes of SARS-CoV-2 Infection in Patients With Autoimmune Conditions Treated With Systemic Therapies: A Population-based Study. The Journal of Rheumatology. 49(3). 320–329. 22 indexed citations
5.
Kremer, Joel M., Clifton O. Bingham, Laura C. Cappelli, et al.. (2021). Postapproval Comparative Safety Study of Tofacitinib and Biological Disease‐Modifying Antirheumatic Drugs: 5‐Year Results from a United States–Based Rheumatoid Arthritis Registry. ACR Open Rheumatology. 3(3). 173–184. 105 indexed citations
6.
7.
Cohen, Stanley, Yoshiya Tanaka, Xavier Mariette, et al.. (2020). Long-term safety of tofacitinib up to 9.5 years: a comprehensive integrated analysis of the rheumatoid arthritis clinical development programme. RMD Open. 6(3). e001395–e001395. 135 indexed citations
8.
Mease, Philip J., Christina Charles‐Schoeman, Stanley Cohen, et al.. (2020). Incidence of venous and arterial thromboembolic events reported in the tofacitinib rheumatoid arthritis, psoriasis and psoriatic arthritis development programmes and from real-world data. Annals of the Rheumatic Diseases. 79(11). 1400–1413. 153 indexed citations
9.
Cohen, Stanley, Yoshiya Tanaka, Xavier Mariette, et al.. (2018). Long-Term Safety of Tofacitinib up to 9.5 Years: A Comprehensive Integrated Analysis of the RA Clinical Development Program. Queensland's institutional digital repository (The University of Queensland). 70. 5 indexed citations
10.
Howland, Renata E., Candace Mulready-Ward, Ann Madsen, et al.. (2015). Reliability of Reported Maternal Smoking: Comparing the Birth Certificate to Maternal Worksheets and Prenatal and Hospital Medical Records, New York City and Vermont, 2009. Maternal and Child Health Journal. 19(9). 1916–1924. 31 indexed citations
13.
Howland, Renata E., et al.. (2015). How Well Do Birth Records Serve Maternal and Child Health Programs? Birth Registration System Evaluation, New York City, 2008–2011. Maternal and Child Health Journal. 19(7). 1559–1566. 7 indexed citations
14.
Howland, Renata E., et al.. (2014). Assessing Electronic Death Registration and American Red Cross Systems for Mortality Surveillance During Hurricane Sandy, October 29–November 10, 2012, New York City. Disaster Medicine and Public Health Preparedness. 8(6). 489–491. 5 indexed citations
15.
Lee, Erica, et al.. (2014). Understanding Perinatal Death: A Systematic Analysis of New York City Fetal and Neonatal Death Vital Record Data and Implications for Improvement, 2007–2011. Maternal and Child Health Journal. 18(8). 1945–1954. 15 indexed citations
16.
Madsen, Ann, et al.. (2013). Evaluating New York City's Abortion Reporting System. Journal of Public Health Management and Practice. 20(4). 392–400. 6 indexed citations
17.
Madsen, Ann, Susan E. Hodge, & Ruth Ottman. (2011). Causal Models for Investigating Complex Disease: I. A Primer. Human Heredity. 72(1). 54–62. 14 indexed citations
18.
Madsen, Ann, et al.. (2011). Etiology of Nonspecific Cause of Death Coding in New York City Motor Vehicle Crash–Related Fatalities. Traffic Injury Prevention. 12(1). 18–23. 2 indexed citations
19.
Nielsen, J., et al.. (2009). A family with a chromosome 14 short arm deletion. Hereditas. 88(1). 107–112. 1 indexed citations
20.
Rundle, Andrew, Ann Madsen, Manuela Orjuela, et al.. (2007). The association between benzo[a]pyrene-DNA adducts and body mass index, calorie intake and physical activity. Biomarkers. 12(2). 123–132. 26 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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