Jesse Miller

609 total citations
10 papers, 220 citations indexed

About

Jesse Miller is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Jesse Miller has authored 10 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Jesse Miller's work include SARS-CoV-2 and COVID-19 Research (3 papers), Respiratory viral infections research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Jesse Miller is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Respiratory viral infections research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Jesse Miller collaborates with scholars based in United States. Jesse Miller's co-authors include Linda L. Yasukawa, Ann M. Arvin, Wayne M. Sullender, Steven Black, A. S. Yeager, John S. Bradley, Mark Dittmar, Sara Cherry, Christine Vazquez and Holly Ramage and has published in prestigious journals such as Cell, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jesse Miller

9 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jesse Miller United States	5	112	96	70	33	19	10	220
Kiran Iqbal Masood Pakistan	8	182 1.6×	68 0.7×	47 0.7×	49 1.5×	17 0.9×	23	264
Sadaf Aslam United States	7	160 1.4×	136 1.4×	88 1.3×	53 1.6×	14 0.7×	24	298
Ashwini Shete India	10	101 0.9×	55 0.6×	84 1.2×	43 1.3×	9 0.5×	31	263
Anping Ni China	8	204 1.8×	79 0.8×	53 0.8×	47 1.4×	50 2.6×	20	324
María José Currás-Tuala Spain	6	74 0.7×	42 0.4×	27 0.4×	33 1.0×	24 1.3×	16	150
Géraldine Engels Germany	6	71 0.6×	97 1.0×	60 0.9×	23 0.7×	6 0.3×	10	197
Parshottam Koradia India	5	166 1.5×	52 0.5×	59 0.8×	76 2.3×	31 1.6×	5	278
Ann‐Kathrin Reuschl United Kingdom	8	187 1.7×	66 0.7×	140 2.0×	81 2.5×	31 1.6×	9	315
Ane Fernandez Salinas Italy	7	139 1.2×	55 0.6×	131 1.9×	22 0.7×	14 0.7×	8	238
Gaspar A. Pacheco Chile	8	85 0.8×	120 1.3×	86 1.2×	35 1.1×	9 0.5×	11	238

Countries citing papers authored by Jesse Miller

Since Specialization

Citations

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

Fields of papers citing papers by Jesse Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse Miller. 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 Jesse Miller. The network helps show where Jesse Miller may publish in the future.

Co-authorship network of co-authors of Jesse Miller

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Miller, Jesse, Kasirajan Ayyanathan, Margaret C. Dunagin, et al.. (2025). Single-cell susceptibility to viral infection is driven by variable cell states. Cell. 189(1). 179–195.e21. 1 indexed citations

2.

Lee, Jae Seung, Mark Dittmar, Jesse Miller, et al.. (2024). Pressure to evade cell-autonomous innate sensing reveals interplay between mitophagy, IFN signaling, and SARS-CoV-2 evolution. Cell Reports. 44(1). 115115–115115. 1 indexed citations

3.

Li, Minghua, Kasirajan Ayyanathan, Mark Dittmar, et al.. (2023). SARS-CoV-2 ORF6 protein does not antagonize interferon signaling in respiratory epithelial Calu-3 cells during infection. mBio. 14(4). e0119423–e0119423. 8 indexed citations

4.

Ferretti, Max, et al.. (2023). Host mRNA deadenylation machinery selectively targets interferon mRNAs, regulating antiviral immunity. The Journal of Immunology. 210(Supplement_1). 236.08–236.08.

5.

Dittmar, Mark, Kanupriya Whig, Jesse Miller, et al.. (2023). Nucleoside analogs NM107 and AT-527 are antiviral against rubella virus. PNAS Nexus. 2(9). pgad256–pgad256. 2 indexed citations

6.

Miller, Jesse, et al.. (2022). A Review of COVID-19 in Relation to Metabolic Syndrome: Obesity, Hypertension, Diabetes, and Dyslipidemia. Cureus. 14(7). e27438–e27438. 29 indexed citations

7.

Vazquez, Christine, Mark Dittmar, Jesse Miller, et al.. (2021). SARS-CoV-2 viral proteins NSP1 and NSP13 inhibit interferon activation through distinct mechanisms. PLoS ONE. 16(6). e0253089–e0253089. 78 indexed citations

8.

Miller, Jesse. (1989). Evaluating structure, process, and outcome indicators in ambulatory care: the AMBUQUAL approach.. PubMed. 4(1). 40–7. 2 indexed citations

9.

Sullender, Wayne M., Jesse Miller, Linda L. Yasukawa, et al.. (1987). Humoral and Cell-Mediated Immunity in Neonates with Herpes Simplex Virus Infection. The Journal of Infectious Diseases. 155(1). 28–37. 94 indexed citations

10.

Miller, Jesse, et al.. (1977). Double-blind one-year clinical study of fenoterol metered dose inhaler: preliminary results of a cooperative study.. PubMed. 39(6). 418–22. 5 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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