Marilyn McLeod

450 total citations
8 papers, 411 citations indexed

About

Marilyn McLeod is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Marilyn McLeod has authored 8 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Marilyn McLeod's work include Virus-based gene therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Herpesvirus Infections and Treatments (1 paper). Marilyn McLeod is often cited by papers focused on Virus-based gene therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Herpesvirus Infections and Treatments (1 paper). Marilyn McLeod collaborates with scholars based in Canada, United States and United Kingdom. Marilyn McLeod's co-authors include Craig A. Strathdee, Jennifer R. Hall, David T. Denhardt, Ann Marie Craig, Maureen Spearman, Jim Wright, Ann F. Chambers, G. Tim Bowden, Paul F. Goetinck and Carol M. Black and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Journal Of Pathology and International Journal of Cancer.

In The Last Decade

Marilyn McLeod

7 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marilyn McLeod Canada	6	238	98	95	59	57	8	411
Gen Yosimichi Japan	9	393 1.7×	101 1.0×	73 0.8×	34 0.6×	40 0.7×	9	488
Kazumi Kawata Japan	15	424 1.8×	103 1.1×	58 0.6×	21 0.4×	70 1.2×	26	604
Jim McBride United States	15	362 1.5×	24 0.2×	56 0.6×	45 0.8×	245 4.3×	20	604
Nikhil Chari United States	7	397 1.7×	14 0.1×	74 0.8×	36 0.6×	157 2.8×	10	484
C Hager Germany	6	64 0.3×	49 0.5×	34 0.4×	99 1.7×	44 0.8×	7	273
Richard H. Kim United States	11	549 2.3×	220 2.2×	77 0.8×	63 1.1×	113 2.0×	14	671
Samuel Varghese United States	11	244 1.0×	71 0.7×	73 0.8×	34 0.6×	127 2.2×	17	412
Christopher J. Vallorosi United States	4	194 0.8×	40 0.4×	24 0.3×	34 0.6×	101 1.8×	5	352
Toshihiro Ohgawara Japan	9	377 1.6×	97 1.0×	29 0.3×	19 0.3×	62 1.1×	11	508
Kazuki Omoteyama Japan	14	288 1.2×	75 0.8×	30 0.3×	16 0.3×	72 1.3×	32	434

Countries citing papers authored by Marilyn McLeod

Since Specialization

Citations

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

Fields of papers citing papers by Marilyn McLeod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marilyn McLeod

This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn McLeod. A scholar is included among the top collaborators of Marilyn McLeod 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 Marilyn McLeod. Marilyn McLeod 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

1.

McLeod, Marilyn, et al.. (2014). NAVIGATING U.S. AND CHINESE BUSINESS CULTURES USING GLOBAL MINDSET LEADERSHIP. Leader to Leader. 2015(75). 23–30. 4 indexed citations

2.

Chen, Yunliang, Shiwen Xu, Laura Kennedy, et al.. (2005). Matrix Contraction by Dermal Fibroblasts Requires Transforming Growth Factor-β/Activin-Linked Kinase 5, Heparan Sulfate-Containing Proteoglycans, and MEK/ERK. American Journal Of Pathology. 167(6). 1699–1711. 119 indexed citations

3.

Strathdee, Craig A. & Marilyn McLeod. (2000). A Modular Set of Helper-Dependent Herpes Simplex Virus Expression Vectors. Molecular Therapy. 1(5). 479–485. 9 indexed citations

4.

Strathdee, Craig A., Marilyn McLeod, & Jennifer R. Hall. (1999). Efficient control of tetracycline-responsive gene expression from an autoregulated bi-directional expression vector. Gene. 229(1-2). 21–29. 120 indexed citations

5.

McLeod, Marilyn, et al.. (1997). Biz of Acq-COIN. Against the grain. 9(2).

6.

Rajagopalan, S., Geetha M. Habib, Antonia R. Sepulveda, et al.. (1993). Six mRNAs with different 5' ends are encoded by a single gamma-glutamyltransferase gene in mouse.. Proceedings of the National Academy of Sciences. 90(13). 6179–6183. 35 indexed citations

7.

Denhardt, David T., et al.. (1991). Spontaneous immortalization of mouse embryo cells: Strain differences and changes in gene expression with particular reference to retroviral gag-pol genes. Experimental Cell Research. 192(1). 128–136. 16 indexed citations

8.

Craig, Ann Marie, G. Tim Bowden, Ann F. Chambers, et al.. (1990). Secreted phosphoprotein mrna is induced during multi‐stage carcinogenesis in mouse skin and correlates with the metastatic potential of murine fibroblasts. International Journal of Cancer. 46(1). 133–137. 108 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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