Mary Hintermeyer

811 total citations
18 papers, 499 citations indexed

About

Mary Hintermeyer is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Mary Hintermeyer has authored 18 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Genetics. Recurrent topics in Mary Hintermeyer's work include Immunodeficiency and Autoimmune Disorders (11 papers), Blood disorders and treatments (6 papers) and Cystic Fibrosis Research Advances (3 papers). Mary Hintermeyer is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (11 papers), Blood disorders and treatments (6 papers) and Cystic Fibrosis Research Advances (3 papers). Mary Hintermeyer collaborates with scholars based in United States, Iran and United Kingdom. Mary Hintermeyer's co-authors include John M. Routes, James Verbsky, James T. Casper, Pippa Simpson, R. Nagarjun Rao, Alexander C. Mackinnon, Kaushik Shahir, Melodee Nugent, Lawrence R. Goodman and Jill Waukau and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Frontiers in Immunology and Arthritis & Rheumatology.

In The Last Decade

Mary Hintermeyer

16 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Hintermeyer United States 12 416 199 156 109 76 18 499
Benjamin Gathmann Germany 11 541 1.3× 219 1.1× 203 1.3× 145 1.3× 89 1.2× 13 599
Wikke Koopmans New Zealand 11 423 1.0× 189 0.9× 181 1.2× 61 0.6× 103 1.4× 13 460
Jacques G. Rivière Spain 9 146 0.4× 59 0.3× 72 0.5× 62 0.6× 22 0.3× 35 252
S. Willot France 11 112 0.3× 45 0.2× 165 1.1× 103 0.9× 29 0.4× 17 393
G. Di Giorgio Italy 9 126 0.3× 44 0.2× 116 0.7× 43 0.4× 68 0.9× 15 377
Guðmundur H. Jörgensen Iceland 8 325 0.8× 51 0.3× 125 0.8× 34 0.3× 12 0.2× 8 397
C Cale United Kingdom 6 240 0.6× 30 0.2× 146 0.9× 93 0.9× 20 0.3× 6 390
Kelly Walkovich United States 13 125 0.3× 31 0.2× 135 0.9× 50 0.5× 30 0.4× 51 381
Liesbeth E. Bakker‐Jonges Netherlands 11 161 0.4× 27 0.1× 67 0.4× 67 0.6× 19 0.3× 22 401
Maria Carrabba Italy 9 139 0.3× 66 0.3× 35 0.2× 79 0.7× 21 0.3× 25 271

Countries citing papers authored by Mary Hintermeyer

Since Specialization
Citations

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

Fields of papers citing papers by Mary Hintermeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Hintermeyer

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

All Works

18 of 18 papers shown
1.
Verbsky, James, Mary Hintermeyer, Pippa Simpson, et al.. (2020). Rituximab and antimetabolite treatment of granulomatous and lymphocytic interstitial lung disease in common variable immunodeficiency. Journal of Allergy and Clinical Immunology. 147(2). 704–712.e17. 36 indexed citations
2.
Thakar, Monica S., et al.. (2017). A Practical Approach to Newborn Screening for Severe Combined Immunodeficiency Using the T Cell Receptor Excision Circle Assay. Frontiers in Immunology. 8. 1470–1470. 28 indexed citations
3.
Bausch-Jurken, Mary T., et al.. (2017). The Use of Salmonella Typhim Vaccine to Diagnose Antibody Deficiency. Journal of Clinical Immunology. 37(5). 427–433. 23 indexed citations
4.
Hintermeyer, Mary, Bertrand Boisson, Maya Chrabieh, et al.. (2017). IRAK4 Deficiency in a Patient with Recurrent Pneumococcal Infections: Case Report and Review of the Literature. Frontiers in Pediatrics. 5. 83–83. 20 indexed citations
5.
Routes, John M., Beatriz Tavares Costa‐Carvalho, Bodo Grimbacher, et al.. (2016). Health-Related Quality of Life and Health Resource Utilization in Patients with Primary Immunodeficiency Disease Prior to and Following 12 Months of Immunoglobulin G Treatment. Journal of Clinical Immunology. 36(5). 450–461. 26 indexed citations
6.
Hintermeyer, Mary, Troy R. Torgerson, Jesús M. López-Guisa, et al.. (2016). X-linked Hyper IgM Syndrome Presenting as Pulmonary Alveolar Proteinosis. Journal of Clinical Immunology. 36(6). 564–570. 12 indexed citations
7.
Hintermeyer, Mary, et al.. (2016). Granulomatous and Lymphocytic Interstitial Lung Disease (GLILD) Associated with KMT2D Gene Mutation in Kabuki Syndrome. Journal of Allergy and Clinical Immunology. 137(2). AB118–AB118. 2 indexed citations
8.
Hintermeyer, Mary, et al.. (2015). Primary immunodeficiency diseases. The Nurse Practitioner. 40(2). 1–7. 3 indexed citations
9.
Niemela, Julie E., Mary Hintermeyer, Mary Garofalo, et al.. (2014). Gain of Function Mutations of PIK3CD as a Cause of Primary Sclerosing Cholangitis. Journal of Clinical Immunology. 35(1). 11–14. 50 indexed citations
10.
11.
Miller, Elizabeth C., et al.. (2012). Autoantibody stabilization of the classical pathway C3 convertase leading to C3 deficiency and Neisserial sepsis: C4 nephritic factor revisited. Clinical Immunology. 145(3). 241–250. 21 indexed citations
12.
Verbsky, James, Mary Hintermeyer, Jill Waukau, et al.. (2012). Use of Combination Chemotherapy for Treatment of Granulomatous and Lymphocytic Interstitial Lung Disease (GLILD) in Patients with Common Variable Immunodeficiency (CVID). Journal of Clinical Immunology. 33(1). 30–39. 136 indexed citations
13.
Hintermeyer, Mary, et al.. (2011). Splenomegaly is a Useful Screening Tool for Secondary Complications in Patients With Common Variable Immunodeficiency (CVID). Journal of Allergy and Clinical Immunology. 127(2). AB12–AB12.
14.
Verbsky, James, Mei Baker, William J. Grossman, et al.. (2011). Newborn Screening for Severe Combined Immunodeficiency; The Wisconsin Experience (2008–2011). Journal of Clinical Immunology. 32(1). 82–88. 102 indexed citations
15.
Curtis, Brian R., et al.. (2009). Autoimmune Neutropenia Presenting with Severe, Life-threatening Infections. Journal of Allergy and Clinical Immunology. 123(2). S209–S209.
16.
Brosig, Cheryl L., et al.. (2006). An exploratory study of the cognitive, academic, and behavioral functioning of pediatric cardiothoracic transplant recipients. Progress in Transplantation. 16(1). 38–45. 17 indexed citations
17.
Brosig, Cheryl L., et al.. (2006). An Exploratory Study of the Cognitive, Academic, and Behavioral Functioning of Pediatric Cardiothoracic Transplant Recipients. Progress in Transplantation. 16(1). 38–45. 10 indexed citations
18.
Rao, Aparna, Daiva Parakininkas, Mary Hintermeyer, Annette D. Segura, & Tom B. Rice. (2005). Bilateral lung transplant in Gauchers type‐1 disease. Pediatric Transplantation. 9(2). 239–243. 11 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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