S M Hanly

843 total citations
9 papers, 772 citations indexed

About

S M Hanly is a scholar working on Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Immunology. According to data from OpenAlex, S M Hanly has authored 9 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, Evolution, Behavior and Systematics, 5 papers in Agronomy and Crop Science and 5 papers in Immunology. Recurrent topics in S M Hanly's work include T-cell and Retrovirus Studies (5 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (5 papers). S M Hanly is often cited by papers focused on T-cell and Retrovirus Studies (5 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (5 papers). S M Hanly collaborates with scholars based in United States and Canada. S M Hanly's co-authors include Warner C. Greene, Jack Greenblatt, M. McLimont, Michael H. Malim, Bryan R. Cullen, N Heintz, R G Roeder, Lisa A. Dailey, Nathaniel Heintz and L Rimsky and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

S M Hanly

9 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S M Hanly United States	9	439	303	248	236	164	9	772
Kenneth P. Samuel United States	16	178 0.4×	300 1.0×	202 0.8×	166 0.7×	53 0.3×	32	589
A. Burny Belgium	23	339 0.8×	853 2.8×	686 2.8×	533 2.3×	115 0.7×	51	1.3k
Mohamed Nejmeddine Morocco	11	155 0.4×	366 1.2×	221 0.9×	191 0.8×	103 0.6×	23	726
C. Cunningham United Kingdom	7	137 0.3×	351 1.2×	177 0.7×	170 0.7×	32 0.2×	9	496
K. Ohishi Japan	9	108 0.2×	442 1.5×	375 1.5×	300 1.3×	67 0.4×	13	592
Harry Paskalis United States	5	164 0.4×	661 2.2×	546 2.2×	499 2.1×	71 0.4×	5	918
David W. Brighty United Kingdom	11	170 0.4×	309 1.0×	218 0.9×	197 0.8×	33 0.2×	23	529
Antonio Talavera Spain	13	436 1.0×	51 0.2×	298 1.2×	191 0.8×	236 1.4×	18	840
William C. Lawrence United States	18	205 0.5×	262 0.9×	120 0.5×	119 0.5×	298 1.8×	29	1.1k
Janet F. Duvall United States	17	494 1.1×	919 3.0×	651 2.6×	637 2.7×	91 0.6×	22	1.4k

Countries citing papers authored by S M Hanly

Since Specialization

Citations

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

Fields of papers citing papers by S M Hanly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S M Hanly. 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 S M Hanly. The network helps show where S M Hanly may publish in the future.

Co-authorship network of co-authors of S M Hanly

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

All Works

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9 of 9 papers shown

1.

Stake, Jayne E., et al.. (2008). Student Responsiveness to Women’s and Gender Studies Classes: The Importance of Initial Student Attitudes and Classroom Relationships. NWSA Journal. 20(2). 189–215. 10 indexed citations

2.

Gilmartin, Gregory M., et al.. (1991). The HTLV-I rex response element mediates a novel form of mRNA polyadenylation. Cell. 64(4). 727–737. 91 indexed citations

3.

Bogerd, Hal P., et al.. (1991). The type I human T-cell leukemia virus (HTLV-I) Rex trans-activator binds directly to the HTLV-I Rex and the type 1 human immunodeficiency virus Rev RNA response elements.. Proceedings of the National Academy of Sciences. 88(13). 5704–5708. 76 indexed citations

4.

Kaufman, Peter A., et al.. (1991). Rex transregulation of human T-cell leukemia virus type II gene expression. Journal of Virology. 65(1). 405–414. 30 indexed citations

5.

Hanly, S M, et al.. (1990). Structure-function analyses of the HTLV-I Rex and HIV-1 Rev RNA response elements: insights into the mechanism of Rex and Rev action.. Genes & Development. 4(6). 1014–1022. 103 indexed citations

6.

Hanly, S M, L Rimsky, Michael H. Malim, et al.. (1989). Comparative analysis of the HTLV-I Rex and HIV-1 Rev trans-regulatory proteins and their RNA response elements.. Genes & Development. 3(10). 1534–1544. 169 indexed citations

7.

Dailey, Lisa A., S M Hanly, R G Roeder, & N Heintz. (1986). Distinct transcription factors bind specifically to two regions of the human histone H4 promoter.. Proceedings of the National Academy of Sciences. 83(19). 7241–7245. 99 indexed citations

8.

Hanly, S M, et al.. (1985). Identification of Promoter Elements Necessary for Transcriptional Regulation of a Human Histone H4 Gene In Vitro. Molecular and Cellular Biology. 5(2). 380–389. 72 indexed citations

9.

Greenblatt, Jack, M. McLimont, & S M Hanly. (1981). Termination of transcription by nusA gene protein of Escherichia coli. Nature. 292(5820). 215–220. 122 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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