Hea Won Ann

805 citations
25 papers · 585 · h-index 14

Impact in

Papers in

    • Sepsis Diagnosis and Treatment 4
    • HIV/AIDS Research and Interventions 4
    • Clostridium difficile and Clostridium perfringens research 3
    • HIV/AIDS drug development and treatment 3

Hea Won Ann

25 papers receiving 573 citations

Peers

Hea Won Ann
Comparison fields: 5 of 94
  • Endocrinology 84
  • Molecular Medicine 81
  • Applied Microbiology and Biotechnology 25
  • Virology 50
  • Critical Care and Intensive Care Medicine 41
Replace In Young Jung with:
In Young Jung South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Hea Won Ann

Since Specialization
Citations

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

Fields of papers citing papers by Hea Won Ann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hea Won Ann. 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 Hea Won Ann. The network helps show where Hea Won Ann may publish in the future.

Co-authors

The 25 scholars most cited alongside Hea Won Ann, 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 Hea Won Ann Line = papers co-authored together Hea Won Ann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015143
2 201656
3 201545
4 201441
5 201641
6 201438
7 201330
8 201524
9 201723
10
The C-Reactive Protein/Albumin Ratio as an Independent Predictor of Mortality in Patients with Severe Sepsis or Septic Shock Treated with Early Goal-Directed Therapy
201522
11 201817
12 201316
13 201614
14 201714
15 201711
16 20138
17 20198
18 20148
19 20178
20 20166

About Hea Won Ann

Hea Won Ann is a scholar working on Epidemiology, Infectious Diseases, Surgery, Virology and Clinical Biochemistry, having authored 25 papers that have together received 585 indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), HIV/AIDS Research and Interventions (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Antibiotic Resistance in Bacteria (4 papers), Sepsis Diagnosis and Treatment (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), HIV/AIDS drug development and treatment (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Endocrinology (84 citations), Molecular Medicine (81 citations), Applied Microbiology and Biotechnology (25 citations), Virology (50 citations) and Critical Care and Intensive Care Medicine (41 citations). Hea Won Ann has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jun Yong Choi, Nam Su Ku, Jin Young Ahn, June Myung Kim, Sang Hoon Han, Young Goo Song, Su Jin Jeong, Yong Duk Jeon, Heun Choi and Je Eun Song. Their work appears in journals such as AIDS Research and Human Retroviruses, Medicine, PLoS ONE, Allergy Asthma and Immunology Research and BMC Infectious Diseases.

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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