Joshua P. Katz

757 total citations
10 papers, 540 citations indexed

About

Joshua P. Katz is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Joshua P. Katz has authored 10 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Oncology. Recurrent topics in Joshua P. Katz's work include RNA modifications and cancer (2 papers), Bacteriophages and microbial interactions (2 papers) and Viral-associated cancers and disorders (2 papers). Joshua P. Katz is often cited by papers focused on RNA modifications and cancer (2 papers), Bacteriophages and microbial interactions (2 papers) and Viral-associated cancers and disorders (2 papers). Joshua P. Katz collaborates with scholars based in United States, France and Spain. Joshua P. Katz's co-authors include James M. Pipas, Paul G. Cantalupo, Rosina Gironés, Byron Calgua, Ayalkibet Hundesa, Guoyan Zhao, Adam D. Wier, David Wang, Michael Grabe and Roger W. Hendrix and has published in prestigious journals such as Journal of Virology, Scientific Reports and Virology.

In The Last Decade

Joshua P. Katz

10 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshua P. Katz United States	7	174	158	151	140	116	10	540
Masayuki Imajoh Japan	14	222 1.3×	49 0.3×	85 0.6×	123 0.9×	68 0.6×	43	597
Mohammadreza Sadeghi Finland	19	266 1.5×	335 2.1×	66 0.4×	43 0.3×	209 1.8×	38	773
Aistė Bulavaitė Lithuania	8	107 0.6×	75 0.5×	66 0.4×	66 0.5×	297 2.6×	16	451
Lichen Jing United States	17	312 1.8×	98 0.6×	39 0.3×	219 1.6×	564 4.9×	44	1.1k
Andrew M. Lewis United States	20	490 2.8×	246 1.6×	181 1.2×	344 2.5×	112 1.0×	44	1.0k
Johanna Ekström Sweden	12	155 0.9×	24 0.2×	53 0.4×	147 1.1×	409 3.5×	14	541
Sohrab Bodaghi United States	17	432 2.5×	147 0.9×	19 0.1×	156 1.1×	271 2.3×	40	1.0k
B. H. Sweet Argentina	9	335 1.9×	119 0.8×	60 0.4×	172 1.2×	100 0.9×	26	764
Palanivel Velupillai United States	11	78 0.4×	67 0.4×	66 0.4×	118 0.8×	62 0.5×	13	566
Chang K. Sung United States	12	78 0.4×	130 0.8×	47 0.3×	501 3.6×	344 3.0×	19	1.0k

Countries citing papers authored by Joshua P. Katz

Since Specialization

Citations

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

Fields of papers citing papers by Joshua P. Katz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua P. Katz. 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 Joshua P. Katz. The network helps show where Joshua P. Katz may publish in the future.

Co-authorship network of co-authors of Joshua P. Katz

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

All Works

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10 of 10 papers shown

1.

Drouin, Arnaud, Sharon Liu, Joshua P. Katz, et al.. (2024). Clinical and laboratory characteristics of patients hospitalized with severe COVID-19 in New Orleans, August 2020 to September 2021. Scientific Reports. 14(1). 6539–6539. 3 indexed citations

2.

Warburton, Alix, Tovah E. Markowitz, Joshua P. Katz, James M. Pipas, & Alison A. McBride. (2021). Recurrent integration of human papillomavirus genomes at transcriptional regulatory hubs. npj Genomic Medicine. 6(1). 101–101. 42 indexed citations

3.

Drouin, Arnaud, Sharon Liu, Joshua P. Katz, et al.. (2020). Impact of Zika virus on the human type I interferon osteoimmune response. Cytokine. 137. 155342–155342. 3 indexed citations

4.

Starrett, Gabriel J., Paul G. Cantalupo, Joshua P. Katz, et al.. (2017). Merkel Cell Polyomavirus Exhibits Dominant Control of the Tumor Genome and Transcriptome in Virus-Associated Merkel Cell Carcinoma. mBio. 8(1). 93 indexed citations

5.

Cantalupo, Paul G., Joshua P. Katz, & James M. Pipas. (2017). Viral sequences in human cancer. Virology. 513. 208–216. 88 indexed citations

6.

Cantalupo, Paul G., Joshua P. Katz, & James M. Pipas. (2015). HeLa Nucleic Acid Contamination in The Cancer Genome Atlas Leads to the Misidentification of Human Papillomavirus 18. Journal of Virology. 89(8). 4051–4057. 31 indexed citations

7.

Katz, Joshua P. & James M. Pipas. (2014). SummonChimera infers integrated viral genomes with nucleotide precision from NGS data. BMC Bioinformatics. 15(1). 348–348. 13 indexed citations

8.

Cantalupo, Paul G., Byron Calgua, Guoyan Zhao, et al.. (2011). Raw Sewage Harbors Diverse Viral Populations. mBio. 2(5). 234 indexed citations

9.

Katz, Joshua P., et al.. (2005). A Platoon Level Model of Communication Flow and the Effects on Soldier Performance. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 49(12). 1210–1214. 3 indexed citations

10.

Katz, Joshua P., et al.. (2004). Complete Genome Sequence of the Apicomplexan, Cryptosporidium parvum. 30 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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