Mary Birchler

486 total citations
12 papers, 286 citations indexed

About

Mary Birchler is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Mary Birchler has authored 12 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Mary Birchler's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Biosimilars and Bioanalytical Methods (5 papers) and Advanced Biosensing Techniques and Applications (2 papers). Mary Birchler is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Biosimilars and Bioanalytical Methods (5 papers) and Advanced Biosensing Techniques and Applications (2 papers). Mary Birchler collaborates with scholars based in United States, United Kingdom and Switzerland. Mary Birchler's co-authors include Boris Gorovits, Meina Liang, Adrienne Clements‐Egan, Andrew I. Bayliffe, Peter J. Morley, Xue Li, Heather Myler, Crystal Sung, Shobha Purushothama and Susan K. Gilmour and has published in prestigious journals such as Blood, Clinical & Experimental Immunology and Multiple Sclerosis Journal.

In The Last Decade

Mary Birchler

11 papers receiving 271 citations

Peers

Mary Birchler
Larry Herrera United States
Sooghee Chang United States
Geoffrey A. Smith United States
Atsuhiko Maeda United States
Winnie L. Kan Australia
Crystal Sung United States
Robert Dingman United States
Larry Herrera United States
Mary Birchler
Citations per year, relative to Mary Birchler Mary Birchler (= 1×) peers Larry Herrera

Countries citing papers authored by Mary Birchler

Since Specialization
Citations

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

Fields of papers citing papers by Mary Birchler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Birchler

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

All Works

12 of 12 papers shown
1.
Birchler, Mary, et al.. (2025). From Guidelines to Implementation: A Case Study on Applying ICH M10 for Bioanalytical Assay Cross-Validation. The AAPS Journal. 27(2). 54–54. 1 indexed citations
3.
Tang, Huaping, et al.. (2024). Comparison of highly sensitive, multiplex immunoassay platforms for streamlined clinical cytokine quantification. Bioanalysis. 17(1). 17–29. 2 indexed citations
4.
Thorneloe, Kevin S., Armin Sepp, Sean X. Zhang, et al.. (2019). The biodistribution and clearance of AlbudAb, a novel biopharmaceutical medicine platform, assessed via PET imaging in humans. EJNMMI Research. 9(1). 45–45. 16 indexed citations
5.
Deisenhammer, Florian, Anders Sjödin, Malin Ryner, et al.. (2018). Prediction of natalizumab anti-drug antibodies persistency. Multiple Sclerosis Journal. 25(3). 392–398. 7 indexed citations
6.
Dettman, Elisha J., Fabio Rigat, Mary Birchler, et al.. (2018). Expression of Myeloma Cell and Soluble B-Cell Maturation Antigen (BCMA) in Relapsed and Refractory Multiple Myeloma Patients Treated with GSK2857916 in BMA117159. Blood. 132(Supplement 1). 1977–1977. 3 indexed citations
7.
Gorovits, Boris, Daniel Baltrukonis, Indranil Bhattacharya, et al.. (2018). Immunoassay methods used in clinical studies for the detection of anti-drug antibodies to adalimumab and infliximab. Clinical & Experimental Immunology. 192(3). 348–365. 61 indexed citations
8.
Li, Xue, Adrienne Clements‐Egan, Lakshmi Amaravadi, et al.. (2017). Recommendations for the Assessment and Management of Pre-existing Drug-Reactive Antibodies During Biotherapeutic Development. The AAPS Journal. 19(6). 1576–1586. 15 indexed citations
9.
Gorovits, Boris, Adrienne Clements‐Egan, Mary Birchler, et al.. (2016). Pre-existing Antibody: Biotherapeutic Modality-Based Review. The AAPS Journal. 18(2). 311–320. 57 indexed citations
10.
Morley, Peter J., Tracey J. Wright, Mary Birchler, et al.. (2015). Specificity of human anti-variable heavy (VH) chain autoantibodies and impact on the design and clinical testing of a VH domain antibody antagonist of tumour necrosis factor-α receptor 1. Clinical & Experimental Immunology. 182(2). 139–148. 33 indexed citations
11.
Holland, M. Claire, Jens Würthner, Peter J. Morley, et al.. (2013). Autoantibodies to Variable Heavy (VH) Chain Ig Sequences in Humans Impact the Safety and Clinical Pharmacology of a VH Domain Antibody Antagonist of TNF-α Receptor 1. Journal of Clinical Immunology. 33(7). 1192–1203. 57 indexed citations
12.
Gilmour, Susan K., et al.. (1999). Effect of elevated levels of ornithine decarboxylase on cell cycle progression in skin.. PubMed. 10(11). 739–48. 34 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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