Jason Ross

680 total citations
7 papers, 141 citations indexed

About

Jason Ross is a scholar working on Critical Care and Intensive Care Medicine, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Jason Ross has authored 7 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Critical Care and Intensive Care Medicine, 2 papers in Artificial Intelligence and 1 paper in Infectious Diseases. Recurrent topics in Jason Ross's work include Topic Modeling (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). Jason Ross is often cited by papers focused on Topic Modeling (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). Jason Ross collaborates with scholars based in United States, Italy and New Zealand. Jason Ross's co-authors include Joshua J. Pankratz, Yanshan Wang, Dingcheng Li, Seán Murphy, Rajeev Chaudhry, Hongfang Liu, Saeed Mehrabi, Vinod C. Kaggal, Sunghwan Sohn and Gloria M. Petersen and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Mayo Clinic Proceedings.

In The Last Decade

Jason Ross

7 papers receiving 134 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason Ross United States	4	46	37	25	20	16	7	141
Taiyao Wang United States	7	72 1.6×	39 1.1×	21 0.8×	12 0.6×	9 0.6×	11	204
Gohar Mosoyan United States	8	18 0.4×	28 0.8×	38 1.5×	21 1.1×	6 0.4×	12	208
Phillips Owen United States	6	58 1.3×	18 0.5×	20 0.8×	52 2.6×	43 2.7×	13	181
Martina Troll Germany	4	41 0.9×	22 0.6×	16 0.6×	4 0.2×	4 0.3×	6	125
Shawn N. Murphy United States	3	31 0.7×	25 0.7×	19 0.8×	65 3.3×	4 0.3×	4	168
Moustafa Abdalla United States	7	78 1.7×	30 0.8×	5 0.2×	26 1.3×	7 0.4×	18	200
Ferrán Moratalla-Navarro Spain	9	57 1.2×	15 0.4×	9 0.4×	25 1.3×	5 0.3×	18	158
Hanzhou Li United States	6	34 0.7×	85 2.3×	11 0.4×	6 0.3×	4 0.3×	24	350
Jessica Xin Hjaltelin Denmark	6	33 0.7×	24 0.6×	15 0.6×	15 0.8×	3 0.2×	12	177
Yewlin E. Chee United States	11	25 0.5×	11 0.3×	15 0.6×	5 0.3×	4 0.3×	22	306

Countries citing papers authored by Jason Ross

Since Specialization

Citations

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

Fields of papers citing papers by Jason Ross

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Ross. A scholar is included among the top collaborators of Jason Ross 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 Jason Ross. Jason Ross 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

1.

Ghosh, Pritha, Michiel J.M. Niesen, Colin Pawlowski, et al.. (2024). Case-control study on post-COVID-19 conditions reveals severe acute infection and chronic pulmonary disease as potential risk factors. iScience. 27(8). 110406–110406. 1 indexed citations

2.

Pawlowski, Colin, Eli Silvert, John C. O’Horo, et al.. (2022). SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes. PNAS Nexus. 1(3). pgac071–pgac071. 11 indexed citations

3.

Ross, Jason, et al.. (2022). Residual neuromuscular blockade in the ICU : a prospective observational study and national survey. Anaesthesia. 77(9). 991–998. 1 indexed citations

4.

Malin, Bradley, Vineet Agarwal, Sairam Bade, et al.. (2021). Building a best-in-class automated de-identification tool for electronic health records through ensemble learning. Patterns. 2(6). 100255–100255. 28 indexed citations

5.

Seetharam, Mahesh, Parminder Singh, Katie L. Kunze, et al.. (2020). Integrating pharmacogenomics panel testing for supportive care medications in patients with solid tumors.. Journal of Clinical Oncology. 38(15_suppl). e24114–e24114. 3 indexed citations

6.

Kaggal, Vinod C., Saeed Mehrabi, Joshua J. Pankratz, et al.. (2016). Toward a Learning Health-care System – Knowledge Delivery at the Point of Care Empowered by Big Data and NLP. SHILAP Revista de lepidopterología. 8s1(Suppl 1). BII.S37977–BII.S37977. 52 indexed citations

7.

Bielinski, Suzette J., High Seng Chai, Jyotishman Pathak, et al.. (2011). Mayo Genome Consortia: A Genotype-Phenotype Resource for Genome-Wide Association Studies With an Application to the Analysis of Circulating Bilirubin Levels. Mayo Clinic Proceedings. 86(7). 606–614. 45 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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