Emil Chi

34 papers receiving 2.1k citations

Peers

Emil Chi
Comparison fields: 5 of 133
  • Speech and Hearing 169
  • Immunology and Allergy 105
  • Immunology 343
  • Infectious Diseases 212
  • Public Health, Environmental and Occupational Health 309
Replace Kingo Chida with:
Kingo Chida Japan
Gaston R. Vantrappen Belgium
Hongtao Liu United States
Mary Jane Thomassen United States
Judith A. Voynow United States
Terrence A. Barrett United States
Johan Van Limbergen Canada
Hirotoshi Matsui Japan
Dominik J. Schaer Switzerland
I. Sárkány United Kingdom
Emil Chi relative to Kingo Chida Japan Kingo Chida's profile →
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Citations per year

Countries citing papers authored by Emil Chi

Since Specialization
Citations

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

Fields of papers citing papers by Emil Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995302
2 2001288
3 1994244
4 2002201
5 2002191
6 1991158
7 199898
8 199870
9 199969
10 199956
11 198253
12 198752
13 198352
14 200249
15
Inhibition of nuclear factor-kappa B nuclear localization reduces human E-selectin expression and the systemic inflammatory response.
199848
16 199945
17 200440
18 199833
19 199233
20 200831

About Emil Chi

Emil Chi is a scholar working on Immunology and Allergy, Immunology, Cell Biology, Pulmonary and Respiratory Medicine and Microbiology, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (3 papers), Streptococcal Infections and Treatments (3 papers), Cell Adhesion Molecules Research (3 papers), Respiratory Support and Mechanisms (3 papers), Fungal Infections and Studies (2 papers), Actinomycetales infections and treatment (2 papers), Neonatal Respiratory Health Research (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Speech and Hearing (169 citations), Immunology and Allergy (105 citations), Immunology (343 citations), Infectious Diseases (212 citations) and Public Health, Environmental and Occupational Health (309 citations). Emil Chi has collaborated with scholars based in United States, Bangladesh and Taiwan. Frequent co-authors include Mechthild Jonas, Craig E. Rubens, P. Patrick Cleary, Sarah J. Glover, Michael H. Gelb, Timothy H. Bayburt, Gary L. Darmstadt, Mathuram Santosham, V. A. Ziboh and SK Saha. Their work appears in journals such as Infection and Immunity, Circulation, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Acta Paediatrica.

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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