Mary L. McFadden

536 total citations
10 papers, 427 citations indexed

About

Mary L. McFadden is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Mary L. McFadden has authored 10 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Mary L. McFadden's work include Immune Cell Function and Interaction (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Proteins in Food Systems (2 papers). Mary L. McFadden is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Proteins in Food Systems (2 papers). Mary L. McFadden collaborates with scholars based in United States. Mary L. McFadden's co-authors include Emil L. Smith, Bruce A. Woda, Vina Buettner‐Janusch, Carolyn Padden, A. A. Like, Joanne Widom, Harold A. Scheraga, Michael Laskowski, Anne Stockell and Raymond M. Welsh and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Mary L. McFadden

10 papers receiving 355 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 L. McFadden United States 9 174 103 81 55 48 10 427
Fuad S. Farah Lebanon 10 123 0.7× 135 1.3× 40 0.5× 85 1.5× 17 0.4× 24 537
Philip S. Vassar Canada 16 196 1.1× 78 0.8× 41 0.5× 24 0.4× 26 0.5× 22 549
M R Salaman United Kingdom 8 187 1.1× 138 1.3× 30 0.4× 87 1.6× 32 0.7× 19 559
M S Preston United States 9 344 2.0× 140 1.4× 40 0.5× 62 1.1× 79 1.6× 9 682
Sam Morris United States 10 160 0.9× 222 2.2× 39 0.5× 77 1.4× 18 0.4× 17 539
August-Wilhelm Geissler Germany 13 248 1.4× 128 1.2× 64 0.8× 13 0.2× 38 0.8× 28 499
Root Rk United States 7 172 1.0× 126 1.2× 42 0.5× 14 0.3× 37 0.8× 9 408
W. Wessel Germany 13 207 1.2× 75 0.7× 35 0.4× 16 0.3× 37 0.8× 41 551
T.M. Monahan United States 8 225 1.3× 89 0.9× 42 0.5× 20 0.4× 19 0.4× 16 405
R. E. Neuman United States 12 221 1.3× 27 0.3× 68 0.8× 26 0.5× 25 0.5× 26 508

Countries citing papers authored by Mary L. McFadden

Since Specialization
Citations

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

Fields of papers citing papers by Mary L. McFadden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary L. McFadden

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

All Works

10 of 10 papers shown
1.
Woda, Bruce A., A. A. Like, Carolyn Padden, & Mary L. McFadden. (1986). Deficiency of phenotypic cytotoxic-suppressor T lymphocytes in the BB/W rat.. The Journal of Immunology. 136(3). 856–859. 73 indexed citations
2.
Woda, BA, et al.. (1984). Separation and isolation of rat natural killer (NK) cells from T cells with monoclonal antibodies.. The Journal of Immunology. 132(5). 2183–2184. 52 indexed citations
3.
Woda, Bruce A. & Mary L. McFadden. (1983). Ligand-induced association of rat lymphocyte membrane proteins with the detergent-insoluble lymphocyte cytoskeletal matrix.. The Journal of Immunology. 131(4). 1917–1919. 22 indexed citations
4.
Laskowski, Michael, Joanne Widom, Mary L. McFadden, & Harold A. Scheraga. (1956). Differential ultraviolet spectra of insulin. Biochimica et Biophysica Acta. 19(3). 581–582. 68 indexed citations
5.
Smith, Emil L., Mary L. McFadden, Anne Stockell, & Vina Buettner‐Janusch. (1955). AMINO ACID COMPOSITION OF FOUR RABBIT ANTIBODIES. Journal of Biological Chemistry. 214(1). 197–207. 57 indexed citations
6.
McFadden, Mary L. & Emil L. Smith. (1955). FREE AMINO GROUPS OF EQUINE γ-GLOBULINS AND A SPECIFIC ANTIBODY. Journal of Biological Chemistry. 216(2). 621–624. 7 indexed citations
7.
McFadden, Mary L. & Emil L. Smith. (1955). FREE AMINO GROUPS AND N-TERMINAL SEQUENCE OF RABBIT ANTIBODIES. Journal of Biological Chemistry. 214(1). 185–196. 47 indexed citations
8.
Smith, Emil L., Douglas M. Brown, Mary L. McFadden, Vina Buettner‐Janusch, & B Jäger. (1955). PHYSICAL, CHEMICAL, AND IMMUNOLOGICAL STUDIES ON GLOBULINS FROM MULTIPLE MYELOMA. Journal of Biological Chemistry. 216(2). 601–620. 41 indexed citations
9.
McFadden, Mary L. & Emil L. Smith. (1953). THE FREE AMINO GROUPS OF γ-GLOBULINS OF DIFFERENT SPECIES. Journal of the American Chemical Society. 75(11). 2784–2785. 23 indexed citations
10.
Adams, Elijah, Mary L. McFadden, & Emil L. Smith. (1952). PEPTIDASES OF ERYTHROCYTES. Journal of Biological Chemistry. 198(2). 663–670. 37 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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