James Wacker

433 total citations
14 papers, 182 citations indexed

About

James Wacker is a scholar working on Epidemiology, Clinical Biochemistry and Oncology. According to data from OpenAlex, James Wacker has authored 14 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 5 papers in Clinical Biochemistry and 4 papers in Oncology. Recurrent topics in James Wacker's work include Sepsis Diagnosis and Treatment (8 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Pneumonia and Respiratory Infections (3 papers). James Wacker is often cited by papers focused on Sepsis Diagnosis and Treatment (8 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Pneumonia and Respiratory Infections (3 papers). James Wacker collaborates with scholars based in United States, Germany and Greece. James Wacker's co-authors include Timothy E. Sweeney, Ljubomir Buturović, Oliver Liesenfeld, Roland Luethy, Uros Midic, David Rawling, Michael B. Mayhew, A. R. Moore, Angela J. Rogers and Purvesh Khatri and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Critical Care Medicine.

In The Last Decade

James Wacker

13 papers receiving 176 citations

Peers

James Wacker
Antony Rapisarda Australia
A. R. Moore United States
Tom Friedman Israel
Graciano García‐Pardo Spain
Wolfgang Bauer Germany
Robin Noël France
Thomas Deiss United States
Navin P. Boeddha Netherlands
Roberto Jiménez Sánchez Spain
Ilia Vaki Greece
Antony Rapisarda Australia
James Wacker
Citations per year, relative to James Wacker James Wacker (= 1×) peers Antony Rapisarda

Countries citing papers authored by James Wacker

Since Specialization
Citations

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

Fields of papers citing papers by James Wacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Wacker

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

All Works

14 of 14 papers shown
1.
Lozada, John R., Andrew Elliott, Mark G. Evans, et al.. (2025). Expression Patterns of DLL3 across Neuroendocrine and Non-neuroendocrine Neoplasms Reveal Broad Opportunities for Therapeutic Targeting. Cancer Research Communications. 5(2). 318–326. 2 indexed citations
2.
Brakenridge, Scott C., Tyler J. Loftus, Ricardo Ungaro, et al.. (2022). Evaluation of a Multivalent Transcriptomic Metric for Diagnosing Surgical Sepsis and Estimating Mortality Among Critically Ill Patients. JAMA Network Open. 5(7). e2221520–e2221520. 6 indexed citations
3.
Wacker, James, Oliver Liesenfeld, Michael B. Mayhew, et al.. (2022). Prospective validation of a transcriptomic severity classifier among patients with suspected acute infection and sepsis in the emergency department. European Journal of Emergency Medicine. 29(5). 357–365. 16 indexed citations
4.
5.
Brakenridge, Scott C., Petr Starostik, Uros Midic, et al.. (2021). A Transcriptomic Severity Metric That Predicts Clinical Outcomes in Critically Ill Surgical Sepsis Patients. Critical Care Explorations. 3(10). e0554–e0554. 12 indexed citations
6.
Wacker, James, Antigone Kotsaki, Ioannis Koutelidakis, et al.. (2021). A 29-mRNA host response test from blood accurately distinguishes bacterial and viral infections among emergency department patients. Intensive Care Medicine Experimental. 9(1). 31–31. 14 indexed citations
7.
Almansa, Raquel, Amanda de la Fuente, Alicia Ortega, et al.. (2021). A host transcriptomic signature for identification of respiratory viral infections in the community. European Journal of Clinical Investigation. 51(12). e13626–e13626. 4 indexed citations
8.
9.
Wacker, James, et al.. (2021). Short-term Cost Comparison of Systemic Heparin Therapy vs. Catheter Directed Thrombolysis for the Treatment of Massive and Submassive Pulmonary Embolism with Long-Term Chronic Pulmonary Hypertension Cost Model.. PubMed. 74(2). 70–74. 3 indexed citations
10.
Mayhew, Michael B., Ljubomir Buturović, Roland Luethy, et al.. (2020). A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections. Nature Communications. 11(1). 1177–1177. 72 indexed citations
11.
Sweeney, Timothy E., Oliver Liesenfeld, James Wacker, et al.. (2020). Validation of Inflammopathic, Adaptive, and Coagulopathic Sepsis Endotypes in Coronavirus Disease 2019. Critical Care Medicine. 49(2). e170–e178. 21 indexed citations
12.
Humphries, R. Keith, E Giamarellos-Bourboulis, David W. Wright, et al.. (2020). A 29 messenger RNA host response signature identifies bacterial and viral infections among emergency department patients. 27.
13.
Terstriep, Shelby A., et al.. (2019). Use of remote symptom monitoring with breast cancer survivors using patient-reported outcome (PRO) measures in MyChart.. Journal of Clinical Oncology. 37(15_suppl). e23125–e23125. 2 indexed citations
14.

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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