Lisa S. Goessling

492 total citations
16 papers, 371 citations indexed

About

Lisa S. Goessling is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Lisa S. Goessling has authored 16 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Molecular Biology. Recurrent topics in Lisa S. Goessling's work include Viral Infections and Immunology Research (6 papers), RNA modifications and cancer (4 papers) and Viral Infections and Vectors (3 papers). Lisa S. Goessling is often cited by papers focused on Viral Infections and Immunology Research (6 papers), RNA modifications and cancer (4 papers) and Viral Infections and Vectors (3 papers). Lisa S. Goessling collaborates with scholars based in United States. Lisa S. Goessling's co-authors include Robert E. Thach, Brian F. Allan, Gregory A. Storch, David P. Mascotti, Kirk Barnett, John L. Orrock, Robert J. Marquis, Genevieve Pang, Maitrayee Bhattacharyya‐Pakrasi and Jonathan M. Chase and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Lisa S. Goessling

16 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa S. Goessling United States 8 119 111 97 65 64 16 371
Morgan Gueuning Switzerland 10 36 0.3× 61 0.5× 123 1.3× 14 0.2× 72 1.1× 18 313
Ryuichi Uchikawa Japan 18 128 1.1× 445 4.0× 110 1.1× 57 0.9× 15 0.2× 55 818
David Llewellyn United Kingdom 9 32 0.3× 25 0.2× 38 0.4× 113 1.7× 65 1.0× 10 269
Connie A. Cummings United States 17 180 1.5× 259 2.3× 95 1.0× 49 0.8× 62 1.0× 28 575
Gorana Stamenković Serbia 11 88 0.7× 23 0.2× 51 0.5× 42 0.6× 40 0.6× 43 315
H. R. Seibold Germany 10 49 0.4× 39 0.4× 40 0.4× 21 0.3× 17 0.3× 39 380
Christopher S. Franklin United States 8 50 0.4× 194 1.7× 162 1.7× 47 0.7× 8 0.1× 11 745
Yannick Le Priol France 7 50 0.4× 54 0.5× 45 0.5× 58 0.9× 20 0.3× 7 423
Polly Hayes United Kingdom 13 17 0.1× 77 0.7× 95 1.0× 65 1.0× 29 0.5× 18 423
J Ubeda Spain 13 18 0.2× 157 1.4× 51 0.5× 34 0.5× 60 0.9× 23 393

Countries citing papers authored by Lisa S. Goessling

Since Specialization
Citations

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

Fields of papers citing papers by Lisa S. Goessling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa S. Goessling

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

All Works

16 of 16 papers shown
1.
Garand, Mathieu, Susie S.Y. Huang, Lisa S. Goessling, et al.. (2023). Virome Analysis and Association of Positive Coxsackievirus B Serology during Pregnancy with Congenital Heart Disease. Microorganisms. 11(2). 262–262. 2 indexed citations
2.
Garand, Mathieu, Susie S.Y. Huang, Lisa S. Goessling, et al.. (2022). A Case of Persistent Human Pegivirus Infection in Two Separate Pregnancies of a Woman. Microorganisms. 10(10). 1925–1925. 2 indexed citations
3.
Goessling, Lisa S., et al.. (2022). Possible Association of Pulmonary Atresia with In-Utero Coxsackievirus B Exposure. Pediatric Cardiology. 43(5). 960–968. 2 indexed citations
4.
Goessling, Lisa S., et al.. (2022). Multiple subtypes of coxsackievirus group B can cause congenital heart disease. Birth Defects Research. 115(2). 171–178. 4 indexed citations
5.
Goessling, Lisa S., et al.. (2021). Coxsackievirus B3 Infection Early in Pregnancy Induces Congenital Heart Defects Through Suppression of Fetal Cardiomyocyte Proliferation. Journal of the American Heart Association. 10(2). e017995–e017995. 16 indexed citations
6.
Goessling, Lisa S., et al.. (2020). Abstract 16811: In-Utero Coxsackievirus Type B Infection is Associated With Congenital Pulmonary Atresia. Circulation. 142(Suppl_3). 1 indexed citations
7.
Cole, C.R., Katherine E. Yutzey, Anoop K. Brar, et al.. (2014). Congenital Heart Disease Linked to Maternal Autoimmunity against Cardiac Myosin. The Journal of Immunology. 192(9). 4074–4082. 10 indexed citations
8.
Brar, Anoop K., Matt Hall, Deirdre J. Epstein, et al.. (2014). Maternalβ-Hemolytic Streptococcal Pharyngeal Exposure and Colonization in Pregnancy. Infectious Diseases in Obstetrics and Gynecology. 2014. 1–6. 1 indexed citations
9.
Goessling, Lisa S., Brian F. Allan, Rachel S. Mandelbaum, & Robert E. Thach. (2012). Development of a Mitochondrial 12S rDNA Analysis for Distinguishing Sciuridae Species With Potential to TransmitEhrlichiaandBorreliaSpecies to FeedingAmblyomma americanum(Acari: Ixodidae). Journal of Medical Entomology. 49(3). 772–776. 5 indexed citations
10.
Allan, Brian F., Lisa S. Goessling, Gregory A. Storch, & Robert E. Thach. (2010). Blood Meal Analysis to Identify Reservoir Hosts forAmblyomma americanumTicks. Emerging infectious diseases. 16(3). 433–440. 84 indexed citations
11.
Allan, Brian F., Lisa S. Goessling, Kirk Barnett, et al.. (2010). Invasive honeysuckle eradication reduces tick-borne disease risk by altering host dynamics. Proceedings of the National Academy of Sciences. 107(43). 18523–18527. 121 indexed citations
12.
Goessling, Lisa S., David P. Mascotti, & Robert E. Thach. (1998). Involvement of Heme in the Degradation of Iron-regulatory Protein 2. Journal of Biological Chemistry. 273(20). 12555–12557. 44 indexed citations
13.
Mascotti, David P., Lisa S. Goessling, Diane Rup, & Robert E. Thach. (1996). Effects of the Ferritin Open Reading Frame on Translational Induction by iron. Progress in nucleic acid research and molecular biology. 55. 121–134. 10 indexed citations
14.
Goessling, Lisa S., David P. Mascotti, Maitrayee Bhattacharyya‐Pakrasi, Gang Han, & Robert E. Thach. (1994). Irreversible steps in the ferritin synthesis induction pathway.. Journal of Biological Chemistry. 269(6). 4343–4348. 18 indexed citations
15.
Daniels-McQueen, Susan, Lisa S. Goessling, & Robert E. Thach. (1992). Inducible expression bovine papillomavirus shuttle vectors containing ferritin translational regulatory elements. Gene. 122(2). 271–279. 7 indexed citations
16.
Goessling, Lisa S., Susan Daniels-McQueen, Maitrayee Bhattacharyya‐Pakrasi, Jih‐Jing Lin, & Robert E. Thach. (1992). Enhanced Degradation of the Ferritin Repressor Protein During Induction of Ferritin Messenger RNA Translation. Science. 256(5057). 670–673. 44 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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