Long Ngo

4.5k citations
52 papers · 3.2k indexed · 1 hit paper · h-index 25
Topics
Sepsis Diagnosis and Treatment (9 papers)Patient-Provider Communication in Healthcare (8 papers)Emergency and Acute Care Studies (7 papers)

In The Last Decade

Long Ngo

47 papers receiving 3.1k citations

Hit Papers

Inviting Patients to Read Their Doctors' Notes: A Quasi-e...20122026201620212012100200300400

Peers

Long Ngo
Comparison fields: 5 of 152
  • Epidemiology 777
  • General Health Professions 733
  • Emergency Medicine 504
  • Health Information Management 483
  • Surgery 454
Replace Annette M Totten with:
Annette M Totten United States
Anastasia Hutchinson Australia
José Labarère France
Richard A. Orr United States
David H. Au United States
Jesse M. Ehrenfeld United States
Chantal Marie Couris France
Andrew F Smith United Kingdom
Michael G. Leu United States
James P. Bagian United States
Long Ngo relative to Annette M Totten United States Annette M Totten's profile →
Citations per field
00.5×1.5×2.1×
Annette M Totten · 1×
Citations per year

Countries citing papers authored by Long Ngo

Since Specialization
Citations

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

Fields of papers citing papers by Long Ngo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Ngo

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 0
6 2
7 5
8 14
9 8
10 78
11 34
12 73
13 29
14 14
15 73
16 205
17 114
18 142
19 21
20 24

About Long Ngo

Long Ngo is a scholar working on Family Practice, Emergency Medicine and Critical Care and Intensive Care Medicine, having authored 52 papers that have together received 3.2k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), Patient-Provider Communication in Healthcare (8 papers) and Emergency and Acute Care Studies (7 papers). The work is most often cited by research in Medical Terminology (32 citations), Health Information Management (483 citations) and Family Practice (166 citations). Long Ngo has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Nathan I. Shapiro, Jan Walker, Jonathan Darer, Tom Delbanco, James D. Ralston, Suzanne G. Leveille, Joann G. Elmore, Ira B. Tager, Daniel Talmor and Roanne Mejilla. Their work appears in journals such as Annals of Internal Medicine, Brain and Neurology.

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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