Mary Crossman

678 total citations
8 papers, 522 citations indexed

About

Mary Crossman is a scholar working on Oncology, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Mary Crossman has authored 8 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Pathology and Forensic Medicine and 3 papers in Rheumatology. Recurrent topics in Mary Crossman's work include Multiple Sclerosis Research Studies (4 papers), Polyomavirus and related diseases (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Mary Crossman is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Polyomavirus and related diseases (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Mary Crossman collaborates with scholars based in United States, Germany and Italy. Mary Crossman's co-authors include Meena Subramanyam, Michaela Lerner, Melissa Berman, Brian Schlain, Leonid Gorelik, Kenneth J. Simon, Ling Ling Chen, Sarah A. Bixler, Ted Yednock and Susan Goelz and has published in prestigious journals such as Annals of Neurology, Journal of Pharmacology and Experimental Therapeutics and The Journal of Clinical Pharmacology.

In The Last Decade

Mary Crossman

8 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mary Crossman United States	6	342	274	147	89	87	8	522
Melissa Berman United States	5	390 1.1×	247 0.9×	215 1.5×	55 0.6×	44 0.5×	7	489
Nolan Campbell United States	10	363 1.1×	503 1.8×	50 0.3×	137 1.5×	109 1.3×	35	618
Troy Tompkins United States	9	331 1.0×	91 0.3×	231 1.6×	17 0.2×	40 0.5×	13	522
Eduardo Marinho France	10	235 0.7×	130 0.5×	74 0.5×	24 0.3×	149 1.7×	17	538
Jaroslaw Jedrych United States	11	178 0.5×	47 0.2×	53 0.4×	21 0.2×	16 0.2×	48	319
Patricia Uherova United States	7	167 0.5×	141 0.5×	62 0.4×	25 0.3×	64 0.7×	11	271
Yannick Le Corre France	12	258 0.8×	47 0.2×	125 0.9×	20 0.2×	18 0.2×	35	390
Quynh Lam United States	7	131 0.4×	41 0.1×	65 0.4×	89 1.0×	19 0.2×	11	491
Helena Bañas Spain	8	294 0.9×	59 0.2×	38 0.3×	26 0.3×	336 3.9×	9	583
Ayman Al Habeeb Canada	11	161 0.5×	59 0.2×	32 0.2×	5 0.1×	37 0.4×	26	305

Countries citing papers authored by Mary Crossman

Since Specialization

Citations

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

Fields of papers citing papers by Mary Crossman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Crossman

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

All Works

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8 of 8 papers shown

White, Joleen T., Scott D. Newsome, Bernd C. Kieseier, et al.. (2016). Incidence, characterization, and clinical impact analysis of peginterferon beta1a immunogenicity in patients with multiple sclerosis in the ADVANCE trial. Therapeutic Advances in Neurological Disorders. 9(4). 239–249. 25 indexed citations

White, Joleen T., Mary Crossman, & Meena Subramanyam. (2015). Incurred Sample Reproducibility and Stability Assessment in A Cell-Based Drug Concentration Assay. Bioanalysis. 7(11). 1347–1353. 2 indexed citations

White, Joleen T., et al.. (2015). Immunogenicity Evaluation Strategy for A Second-Generation Therapeutic, Peg-Ifn-β-1A. Bioanalysis. 7(21). 2801–2811. 5 indexed citations

Plavina, Tatiana, Melissa Berman, Mary Crossman, et al.. (2011). Multi-site analytical validation of an assay to detect anti-JCV antibodies in human serum and plasma. Journal of Clinical Virology. 53(1). 65–71. 17 indexed citations

Hu, Xiao, Larisa Miller, Sandra Richman, et al.. (2011). A Novel PEGylated Interferon Beta‐1a for Multiple Sclerosis: Safety, Pharmacology, and Biology. The Journal of Clinical Pharmacology. 52(6). 798–808. 91 indexed citations

Hu, Xiao, Kenneth N. Olivier, Mary Crossman, et al.. (2011). In Vivo Pharmacology and Toxicology Evaluation of Polyethylene Glycol-Conjugated Interferon β-1a. Journal of Pharmacology and Experimental Therapeutics. 338(3). 984–996. 24 indexed citations

Baker, Darren P., R. Blake Pepinsky, Margot Brickelmaier, et al.. (2010). PEGylated Interferon Beta-1a: Meeting an Unmet Medical Need in the Treatment of Relapsing Multiple Sclerosis. Journal of Interferon & Cytokine Research. 30(10). 777–785. 32 indexed citations

Gorelik, Leonid, Michaela Lerner, Sarah A. Bixler, et al.. (2010). Anti‐JC virus antibodies: Implications for PML Risk Stratification. Annals of Neurology. 68(3). 295–303. 326 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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