Marc D. Natter

1.2k total citations
20 papers, 444 citations indexed

About

Marc D. Natter is a scholar working on Hematology, Speech and Hearing and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marc D. Natter has authored 20 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 7 papers in Speech and Hearing and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marc D. Natter's work include Autoimmune and Inflammatory Disorders Research (9 papers), Adolescent and Pediatric Healthcare (7 papers) and Acute Lymphoblastic Leukemia research (4 papers). Marc D. Natter is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (9 papers), Adolescent and Pediatric Healthcare (7 papers) and Acute Lymphoblastic Leukemia research (4 papers). Marc D. Natter collaborates with scholars based in United States, Canada and Switzerland. Marc D. Natter's co-authors include Kenneth D. Mandl, Laura E. Schanberg, Yukiko Kimura, Mei‐Sing Ong, Norman T. Ilowite, Thomas A. Fleisher, V. Koneti Rao, Julie E. Niemela, Joie Davis and Mark Raffeld and has published in prestigious journals such as Blood, PLoS ONE and Circulation Research.

In The Last Decade

Marc D. Natter

18 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc D. Natter United States 12 134 83 83 83 76 20 444
Giovanna Devercelli United States 12 76 0.6× 53 0.6× 152 1.8× 63 0.8× 25 0.3× 30 679
Utkarsh Acharya United States 13 91 0.7× 83 1.0× 43 0.5× 95 1.1× 9 0.1× 32 520
Keiichi Matsuzaki Japan 12 237 1.8× 68 0.8× 87 1.0× 132 1.6× 9 0.1× 33 787
Paola Sabrina Buonuomo Italy 15 44 0.3× 121 1.5× 46 0.6× 44 0.5× 14 0.2× 65 564
Marcelo Gerardin Poirot Land Brazil 16 146 1.1× 108 1.3× 39 0.5× 102 1.2× 7 0.1× 68 674
Anjali Patwardhan United States 12 35 0.3× 48 0.6× 71 0.9× 51 0.6× 11 0.1× 29 389
Rachel Archer United Kingdom 11 54 0.4× 30 0.4× 60 0.7× 87 1.0× 6 0.1× 22 467
Meike Ressing Germany 11 73 0.5× 41 0.5× 77 0.9× 21 0.3× 7 0.1× 15 376
Deepesh Lad India 14 265 2.0× 125 1.5× 51 0.6× 140 1.7× 4 0.1× 131 622
Vimarsh Raina India 11 144 1.1× 42 0.5× 38 0.5× 68 0.8× 3 0.0× 81 514

Countries citing papers authored by Marc D. Natter

Since Specialization
Citations

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

Fields of papers citing papers by Marc D. Natter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc D. Natter. 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 Marc D. Natter. The network helps show where Marc D. Natter may publish in the future.

Co-authorship network of co-authors of Marc D. Natter

This figure shows the co-authorship network connecting the top 25 collaborators of Marc D. Natter. A scholar is included among the top collaborators of Marc D. Natter 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 Marc D. Natter. Marc D. Natter 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
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Ong, Mei‐Sing, George Tomlinson, Marc D. Natter, et al.. (2025). Three‐Year Outcomes and Latent Class Trajectory Analysis of the Childhood Arthritis and Rheumatology Research Alliance Polyarticular JIA Consensus Treatment Plans Study. Arthritis & Rheumatology. 77(10). 1433–1441. 2 indexed citations
3.
Hausmann, Jonathan S., et al.. (2022). Feasibility and Efficacy of Online Strategies to Recruit Parents of Children With Rheumatic Diseases for Research. ACR Open Rheumatology. 4(5). 410–416. 5 indexed citations
4.
Abman, Steven H., Mary P. Mullen, Lynn A. Sleeper, et al.. (2021). Characterisation of paediatric pulmonary hypertensive vascular disease from the PPHNet Registry. European Respiratory Journal. 59(1). 2003337–2003337. 52 indexed citations
5.
6.
Taxter, Alysha J. & Marc D. Natter. (2021). Using the Electronic Health Record to Enhance Care in Pediatric Rheumatology. Rheumatic Disease Clinics of North America. 48(1). 245–258. 2 indexed citations
7.
Kimura, Yukiko, Laura E. Schanberg, George Tomlinson, et al.. (2021). Optimizing the Start Time of Biologics in Polyarticular Juvenile Idiopathic Arthritis: A Comparative Effectiveness Study of Childhood Arthritis and Rheumatology Research Alliance Consensus Treatment Plans. Arthritis & Rheumatology. 73(10). 1898–1909. 21 indexed citations
8.
Ong, Mei‐Sing, Deborah Rothman, Sara Barmettler, et al.. (2021). New-onset hypogammaglobulinaemia and infectious complications associated with rituximab use in childhood-onset rheumatic diseases. Lara D. Veeken. 61(4). 1610–1620. 9 indexed citations
9.
Ong, Mei‐Sing, Jeffrey G. Klann, Kueiyu Joshua Lin, et al.. (2020). Claims‐Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine‐Learning Approaches. Journal of the American Heart Association. 9(19). e016648–e016648. 23 indexed citations
10.
Ong, Mei‐Sing, Steve Abman, Eric D. Austin, et al.. (2019). Racial and Ethnic Differences in Pediatric Pulmonary Hypertension: An Analysis of the Pediatric Pulmonary Hypertension Network Registry. The Journal of Pediatrics. 211. 63–71.e6. 18 indexed citations
11.
Estiri, Hossein, Jeffrey G. Klann, Sarah R. Weiler, et al.. (2019). A federated EHR network data completeness tracking system. Journal of the American Medical Informatics Association. 26(7). 637–645. 14 indexed citations
12.
Weitzman, Elissa R., Lauren E. Wisk, Fatma Dedeoğlu, et al.. (2018). Adding patient-reported outcomes to a multisite registry to quantify quality of life and experiences of disease and treatment for youth with juvenile idiopathic arthritis. Journal of Patient-Reported Outcomes. 2(1). 18 indexed citations
13.
Klann, Jeffrey G., et al.. (2018). The Ad-Hoc Uncertainty Principle of Patient Privacy.. PubMed. 2017. 132–138. 4 indexed citations
14.
Beukelman, Timothy, Yukiko Kimura, Norman T. Ilowite, et al.. (2017). The new Childhood Arthritis and Rheumatology Research Alliance (CARRA) registry: design, rationale, and characteristics of patients enrolled in the first 12 months. Pediatric Rheumatology. 15(1). 30–30. 64 indexed citations
15.
Ong, Mei‐Sing, Mary P. Mullen, Eric D. Austin, et al.. (2017). Learning a Comorbidity-Driven Taxonomy of Pediatric Pulmonary Hypertension. Circulation Research. 121(4). 341–353. 12 indexed citations
16.
Pinyol, Isaac, et al.. (2016). C3-PRO: Connecting ResearchKit to the Health System Using i2b2 and FHIR. PLoS ONE. 11(3). e0152722–e0152722. 29 indexed citations
17.
Klann, Jeffrey G., Marc D. Natter, Douglas MacFadden, et al.. (2015). The Scalable Collaborative Infrastructure for a Learning Health System.. AMIA. 1 indexed citations
18.
Natter, Marc D., Jun Quan, Athos Bousvaros, et al.. (2012). An i2b2-based, generalizable, open source, self-scaling chronic disease registry. Journal of the American Medical Informatics Association. 20(1). 172–179. 54 indexed citations
19.
20.
Niemela, Julie E., Thomas A. Fleisher, Joie Davis, et al.. (2010). Somatic KRAS mutations associated with a human nonmalignant syndrome of autoimmunity and abnormal leukocyte homeostasis. Blood. 117(10). 2883–2886. 95 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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