Steven D. Goodman

1.8k total citations
39 papers, 1.5k citations indexed

About

Steven D. Goodman is a scholar working on Molecular Biology, Microbiology and Epidemiology. According to data from OpenAlex, Steven D. Goodman has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Microbiology and 8 papers in Epidemiology. Recurrent topics in Steven D. Goodman's work include Bacterial biofilms and quorum sensing (11 papers), Bacterial Infections and Vaccines (11 papers) and Pneumonia and Respiratory Infections (7 papers). Steven D. Goodman is often cited by papers focused on Bacterial biofilms and quorum sensing (11 papers), Bacterial Infections and Vaccines (11 papers) and Pneumonia and Respiratory Infections (7 papers). Steven D. Goodman collaborates with scholars based in United States, Canada and New Zealand. Steven D. Goodman's co-authors include Lauren O. Bakaletz, Laura A. Novotny, Dennis G. Cvitkovitch, Aishwarya Devaraj, David C. I. Hung, Joseph A. Jurcisek, Jennifer S. Downey, Yichen Huang, Grace Spatafora and Richard P. Ellen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Steven D. Goodman

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven D. Goodman United States 24 703 438 371 313 268 39 1.5k
Joseph A. Jurcisek United States 30 833 1.2× 174 0.4× 1.1k 3.0× 866 2.8× 113 0.4× 45 2.2k
Jay Hayes United States 10 510 0.7× 102 0.2× 495 1.3× 523 1.7× 175 0.7× 13 1.4k
Jennifer S. Downey United States 17 442 0.6× 222 0.5× 129 0.3× 157 0.5× 149 0.6× 20 906
W. Edward Swords United States 19 463 0.7× 67 0.2× 309 0.8× 486 1.6× 124 0.5× 41 1.3k
Bethany Dice United States 8 397 0.6× 121 0.3× 363 1.0× 399 1.3× 151 0.6× 8 1.1k
Diane H. Meyer United States 16 447 0.6× 946 2.2× 210 0.6× 144 0.5× 435 1.6× 23 1.4k
Wenzhou Hong United States 19 386 0.5× 69 0.2× 530 1.4× 530 1.7× 172 0.6× 36 1.4k
Apollo Stacy United States 14 680 1.0× 200 0.5× 86 0.2× 119 0.4× 119 0.4× 21 1.3k
Christian Mouton Canada 26 407 0.6× 1.2k 2.8× 118 0.3× 212 0.7× 681 2.5× 63 1.9k
Mary E. Marquart United States 24 458 0.7× 49 0.1× 124 0.3× 308 1.0× 300 1.1× 80 1.6k

Countries citing papers authored by Steven D. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven D. Goodman

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

All Works

20 of 20 papers shown
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Jurcisek, Joseph A., et al.. (2023). Z‐Form Extracellular DNA in Pediatric CRS May Provide a Mechanism for Recalcitrance to Treatment. The Laryngoscope. 134(4). 1564–1571. 2 indexed citations
3.
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Mokrzan, Elaine M., John R. Buzzo, Laura A. Novotny, et al.. (2020). Nontypeable Haemophilus influenzae newly released (NRel) from biofilms by antibody-mediated dispersal versus antibody-mediated disruption are phenotypically distinct. Biofilm. 2. 100039–100039. 21 indexed citations
5.
Novotny, Laura A., Steven D. Goodman, & Lauren O. Bakaletz. (2020). Targeting a bacterial DNABII protein with a chimeric peptide immunogen or humanised monoclonal antibody to prevent or treat recalcitrant biofilm-mediated infections. EBioMedicine. 59. 102867–102867. 25 indexed citations
6.
Sethia, Rishabh, et al.. (2019). Antibodies against the DNABII protein integration host factor (IHF) inhibit sinus implant biofilms. The Laryngoscope. 130(6). 1364–1371. 11 indexed citations
7.
Novotny, Laura A., Steven D. Goodman, & Lauren O. Bakaletz. (2019). Redirecting the immune response towards immunoprotective domains of a DNABII protein resolves experimental otitis media. npj Vaccines. 4(1). 43–43. 29 indexed citations
8.
Rocco, Christopher J., Lauren O. Bakaletz, & Steven D. Goodman. (2018). Targeting the HUβ Protein Prevents Porphyromonas gingivalis from Entering into Preexisting Biofilms. Journal of Bacteriology. 200(11). 21 indexed citations
9.
Jurcisek, Joseph A., Kenneth L. Brockman, Laura A. Novotny, Steven D. Goodman, & Lauren O. Bakaletz. (2017). Nontypeable Haemophilus influenzae releases DNA and DNABII proteins via a T4SS-like complex and ComE of the type IV pilus machinery. Proceedings of the National Academy of Sciences. 114(32). E6632–E6641. 50 indexed citations
10.
Devaraj, Aishwarya, John R. Buzzo, Christopher J. Rocco, Lauren O. Bakaletz, & Steven D. Goodman. (2017). The DNABII family of proteins is comprised of the only nucleoid associated proteins required for nontypeable Haemophilus influenzae biofilm structure. MicrobiologyOpen. 7(3). e00563–e00563. 51 indexed citations
11.
Jurcisek, Joseph A., Nathan D. Cass, Steven D. Goodman, et al.. (2016). Identification of biofilms in post‐tympanostomy tube otorrhea. The Laryngoscope. 126(8). 1946–1951. 38 indexed citations
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Tjokro, Natalia O., Christopher J. Rocco, Richa Priyadarshini, Mary E. Davey, & Steven D. Goodman. (2014). A Biochemical Analysis of the Interaction of Porphyromonas gingivalis HU PG0121 Protein with DNA. PLoS ONE. 9(3). e93266–e93266. 8 indexed citations
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Nelson-Field, Karen & Steven D. Goodman. (2011). Identifying and lowering student attrition risk: a counselling interventionist approach. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 43(3). 31–49. 2 indexed citations
16.
Hung, David C. I., Jennifer S. Downey, Jens Kreth, et al.. (2011). Oligomerization of the Response Regulator ComE from Streptococcus mutans Is Affected by Phosphorylation. Journal of Bacteriology. 194(5). 1127–1135. 16 indexed citations
17.
Freire, Marcelo, Parish P. Sedghizadeh, Christoph Schaudinn, et al.. (2011). Development of an Animal Model for Aggregatibacter Actinomycetemcomitans Biofilm‐Mediated Oral Osteolytic Infection: A Preliminary Study. Journal of Periodontology. 82(5). 778–789. 40 indexed citations
18.
Wu, Chenggang, Eduardo A. Ayala, Jennifer S. Downey, et al.. (2010). Regulation of ciaXRH Operon Expression and Identification of the CiaR Regulon in Streptococcus mutans. Journal of Bacteriology. 192(18). 4669–4679. 24 indexed citations
19.
Ervin, Ruth A., et al.. (2006). Merging Research and Practice Agendas to Address Reading and Behavior School-Wide. School Psychology Review. 35(2). 198–223. 41 indexed citations
20.
Guggenheim, B., Grace Spatafora, Yichen Huang, et al.. (2005). A VicRK Signal Transduction System in Streptococcus mutans Affects gtfBCD , gbpB , and ftf Expression, Biofilm Formation, and Genetic Competence Development. Journal of Bacteriology. 187(12). 4064–4076. 261 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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