Heather T. Hartle

661 total citations
7 papers, 593 citations indexed

About

Heather T. Hartle is a scholar working on Molecular Biology, Virology and Epidemiology. According to data from OpenAlex, Heather T. Hartle has authored 7 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Virology and 3 papers in Epidemiology. Recurrent topics in Heather T. Hartle's work include HIV Research and Treatment (2 papers), HIV/AIDS Research and Interventions (2 papers) and Cancer therapeutics and mechanisms (1 paper). Heather T. Hartle is often cited by papers focused on HIV Research and Treatment (2 papers), HIV/AIDS Research and Interventions (2 papers) and Cancer therapeutics and mechanisms (1 paper). Heather T. Hartle collaborates with scholars based in United States, Poland and France. Heather T. Hartle's co-authors include Brian Wigdahl, C Kunsch, Mark Laughlin, Janet M. Harouse, James A. Hoxie, Francisco González‐Scarano, Joyce L. Barwick, Philip S. Guzelian, Patrick Maurel and Steven Wrighton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Virology.

In The Last Decade

Heather T. Hartle

7 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heather T. Hartle United States	6	281	180	163	130	130	7	593
Brian Carr United States	15	65 0.2×	180 1.0×	214 1.3×	79 0.6×	204 1.6×	36	707
Beata Orzechowska Poland	13	110 0.4×	27 0.1×	226 1.4×	165 1.3×	122 0.9×	35	580
Sarah Welbourn United States	12	221 0.8×	54 0.3×	158 1.0×	193 1.5×	143 1.1×	20	550
Gao‐Hong Zhang China	14	161 0.6×	22 0.1×	250 1.5×	91 0.7×	191 1.5×	46	698
Marty S. Springer United States	11	63 0.2×	44 0.2×	157 1.0×	55 0.4×	181 1.4×	11	644
Tominori Kimura Japan	15	182 0.6×	48 0.3×	566 3.5×	46 0.4×	85 0.7×	31	776
Uri Mbonye United States	15	612 2.2×	28 0.2×	597 3.7×	122 0.9×	345 2.7×	21	1.3k
Tamar Bino Israel	15	46 0.2×	35 0.2×	405 2.5×	75 0.6×	188 1.4×	28	866
Shawn Barney United States	5	198 0.7×	15 0.1×	253 1.6×	274 2.1×	94 0.7×	8	686
Michele D. Sobolewski United States	14	582 2.1×	16 0.1×	499 3.1×	135 1.0×	244 1.9×	21	1.1k

Countries citing papers authored by Heather T. Hartle

Since Specialization

Citations

This map shows the geographic impact of Heather T. Hartle'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 Heather T. Hartle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather T. Hartle more than expected).

Fields of papers citing papers by Heather T. Hartle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather T. Hartle. 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 Heather T. Hartle. The network helps show where Heather T. Hartle may publish in the future.

Co-authorship network of co-authors of Heather T. Hartle

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

All Works

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7 of 7 papers shown

Krebs, Fred C., Heather T. Hartle, Bruno Chatton, et al.. (1994). Identification of a Second ATF/CREB-like Element in the Herpes Simplex Virus Type 1 (HSV-1) Latency-Associated Transcript (LAT) Promoter. Virology. 200(1). 220–235. 39 indexed citations

Hartle, Heather T., et al.. (1992). Effect of γ-Interferon on the Expression of Major Histocompatibility Complex Class I and II Gene Products in Neural Cells Isolated from the Developing Human Fetal Peripheral Nervous System. Fetal Diagnosis and Therapy. 7(2). 62–74. 3 indexed citations

Harouse, Janet M., C Kunsch, Heather T. Hartle, et al.. (1989). CD4-independent infection of human neural cells by human immunodeficiency virus type 1. Journal of Virology. 63(6). 2527–2533. 254 indexed citations

Kunsch, C, Heather T. Hartle, & Brian Wigdahl. (1989). Infection of human fetal dorsal root ganglion glial cells with human immunodeficiency virus type 1 involves an entry mechanism independent of the CD4 T4A epitope. Journal of Virology. 63(12). 5054–5061. 57 indexed citations

Guzelian, Philip S., et al.. (1986). Cloning of a cDNA coding for P-450 LM3c from rabbit liver microsomes and regulation of its expression. Nucleic Acids Research. 14(15). 5999–6016. 30 indexed citations

Wiebauer, K, et al.. (1985). A 78-kilobase region of mouse chromosome 3 contains salivary and pancreatic amylase genes and a pseudogene.. Proceedings of the National Academy of Sciences. 82(16). 5446–5449. 24 indexed citations

Wrighton, Steven, Erin G. Schuetz, Paul B. Watkins, et al.. (1985). Demonstration in multiple species of inducible hepatic cytochromes P-450 and their mRNAs related to the glucocorticoid-inducible cytochrome P-450 of the rat.. Molecular Pharmacology. 28(3). 312–321. 186 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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