Hector R. Wong

23.8k citations
306 papers · 13.0k indexed · 1 hit paper · h-index 64

Hector R. Wong

304 papers receiving 12.7k citations

Hit Papers

Prognostic and predictive enrichment in sepsis223201920262021202350100150200

Peers

Hector R. Wong
Comparison fields: 5 of 152
  • Critical Care and Intensive Care Medicine 1.2k
  • Nephrology 1.2k
  • Immunology 3.1k
  • Epidemiology 4.5k
  • Cancer Research 952
Replace Robert L. Danner with:
Robert L. Danner United States
Alfred Ayala United States
Irene E. Karl United States
Irshad H. Chaudry United States
Jérôme Pugin Switzerland
Keith R. Walley Canada
Wim A. Buurman Netherlands
Stephen F. Lowry United States
Bernd Jilma Austria
Ivor S. Douglas United States
Hector R. Wong relative to Robert L. Danner United States Robert L. Danner's profile →
Citations per field
00.5×2.6×
Robert L. Danner · 1×
Citations per year

Countries citing papers authored by Hector R. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Hector R. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hector R. Wong. 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 Hector R. Wong. The network helps show where Hector R. Wong may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hector R. Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hector R. Wong Line = papers co-authored together Hector R. Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202311
3 202146
4 202018
5 20206
6 202043
7 20187
8 201815
9 201727
10 20149
11
Respiratory, cardiovascular and central nervous systems
20141
12 2013114
13 201026
14 20098
15
Pediatric critical care medicine : basic science and clinical evidence
200735
16 2006108
17 200156
18 2001124
19 2001123
20 199513

About Hector R. Wong

Hector R. Wong is a scholar working on Critical Care and Intensive Care Medicine, Immunology and Epidemiology, having authored 306 papers that have together received 13.0k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (120 papers), Immune Response and Inflammation (65 papers), Heat shock proteins research (42 papers), NF-κB Signaling Pathways (27 papers), Respiratory Support and Mechanisms (26 papers), Adrenal Hormones and Disorders (23 papers), Neonatal and Maternal Infections (22 papers) and Neonatal Respiratory Health Research (18 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (1.2k citations), Nephrology (1.2k citations) and Immunology (3.1k citations). Hector R. Wong has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Basilia Zingarelli, Derek S. Wheeler, Thomas P. Shanley, Alvin Denenberg, Kelli Odoms, Natalie Z. Cvijanovich, James L. Wynn, Jonathan R. Wispé, Timothy E. Sweeney and Paul W. Hake. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Cell Biology and Blood.

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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