D Lawless

703 total citations · 1 hit paper
9 papers, 626 citations indexed

About

D Lawless is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, D Lawless has authored 9 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Immunology. Recurrent topics in D Lawless's work include Estrogen and related hormone effects (3 papers), Hormonal Regulation and Hypertension (3 papers) and T-cell and B-cell Immunology (2 papers). D Lawless is often cited by papers focused on Estrogen and related hormone effects (3 papers), Hormonal Regulation and Hypertension (3 papers) and T-cell and B-cell Immunology (2 papers). D Lawless collaborates with scholars based in Canada, United States and Germany. D Lawless's co-authors include Ralf Agger, Margit D. Witmer-Pack, Ralph M. Steinman, Joshua P. Metlay, Mary T. Crowley, Jacques Raymond, Anthony H. Taylor, Norman C.W. Wong, Jacques Romney and Jennifer C Chan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

D Lawless

8 papers receiving 612 citations

Hit Papers

The distinct leukocyte integrins of mouse spleen dendriti... 1990 2026 2002 2014 1990 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D Lawless Canada 6 449 142 57 56 53 9 626
Carlos Martínez-Alonso Spain 13 300 0.7× 125 0.9× 33 0.6× 37 0.7× 45 0.8× 21 466
N Moriya Japan 11 246 0.5× 57 0.4× 68 1.2× 52 0.9× 21 0.4× 18 458
S Bregenholt Denmark 12 220 0.5× 73 0.5× 93 1.6× 41 0.7× 43 0.8× 17 368
Rahul Pandey United States 13 353 0.8× 112 0.8× 129 2.3× 84 1.5× 84 1.6× 20 686
A E Berger United States 9 252 0.6× 130 0.9× 25 0.4× 72 1.3× 9 0.2× 15 487
Hee-Kap Kang United States 15 679 1.5× 116 0.8× 49 0.9× 86 1.5× 10 0.2× 17 892
Nabila Ibnou-Zekri Switzerland 12 376 0.8× 187 1.3× 41 0.7× 38 0.7× 8 0.2× 17 612
Isaac Blanca Venezuela 15 374 0.8× 154 1.1× 29 0.5× 106 1.9× 9 0.2× 46 691
Darwin O. Chee United States 13 201 0.4× 138 1.0× 116 2.0× 87 1.6× 133 2.5× 21 530
Katherine A. Lundeen United States 8 317 0.7× 134 0.9× 42 0.7× 66 1.2× 6 0.1× 8 621

Countries citing papers authored by D Lawless

Since Specialization
Citations

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

Fields of papers citing papers by D Lawless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Lawless

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

All Works

9 of 9 papers shown
1.
Taylor, Anthony H., Janis M. Dionne, D Lawless, et al.. (2000). Oestradiol decreases rat apolipoprotein AI transcription via promoter site B. Journal of Molecular Endocrinology. 25(2). 207–219. 8 indexed citations
2.
Taylor, Anthony H., et al.. (1996). Identification of Functional Positive and Negative Thyroid Hormone-Responsive Elements in the Rat Apolipoprotein AI Promoter. Biochemistry. 35(25). 8281–8288. 48 indexed citations
3.
Taylor, Anthony H., Jacques Raymond, Julie Dionne, et al.. (1996). Glucocorticoid increases rat apolipoprotein A-I promoter activity. Journal of Lipid Research. 37(10). 2232–2243. 32 indexed citations
4.
Greenleaf, J. E., C. G. R. Jackson, & D Lawless. (1994). Review. Sports medicine, training, and rehabilitation. 5(3). 223–241. 5 indexed citations
5.
Lawless, D, et al.. (1992). Rat hepatonuclear factor PS-1 regulates tissue-specific activity of the S14 promoter in vitro.. Journal of Biological Chemistry. 267(35). 25167–25173. 5 indexed citations
6.
Metlay, Joshua P., Margit D. Witmer-Pack, Ralf Agger, et al.. (1990). The distinct leukocyte integrins of mouse spleen dendritic cells as identified with new hamster monoclonal antibodies.. The Journal of Experimental Medicine. 171(5). 1753–1771. 494 indexed citations breakdown →
7.
Nakao, Kazuki, D Lawless, Yoshihide Ohe, et al.. (1990). c-Ha-ras down regulates the alpha-fetoprotein gene but not the albumin gene in human hepatoma cells.. Molecular and Cellular Biology. 10(4). 1461–1469. 24 indexed citations
8.
Lawless, D, et al.. (1989). Analysis of T Lymphocyte Subsets in Tamarins with Colitis and Colon Cancer. The American Journal of the Medical Sciences. 297(2). 118–122.
9.
Cunningham‐Rundles, Charlotte, et al.. (1980). Isolation and partial chemical characterization of the IgG Fc receptor of human T lymphocytes and production of an antiserum.. Proceedings of the National Academy of Sciences. 77(6). 3645–3648. 10 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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