Jae‐Ik Han

857 citations
59 papers · 570 · h-index 14

Impact in

    • Vector-borne infectious diseases
    • Parasitic Infections and Diagnostics
    • Viral Infections and Vectors
    • Antimicrobial Resistance in Staphylococcus

Papers in

    • Viral Infections and Vectors 9
    • Antimicrobial Resistance in Staphylococcus 5
    • Vector-borne infectious diseases 9
    • Bird parasitology and diseases 9

Jae‐Ik Han

53 papers receiving 551 citations

Peers

Jae‐Ik Han
Comparison fields: 5 of 84
  • Parasitology 183
  • Infectious Diseases 185
  • Microbiology 37
  • Small Animals 42
  • Ecology, Evolution, Behavior and Systematics 114
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Knut Madslien Norway
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Citations per field
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Citations per year

Countries citing papers authored by Jae‐Ik Han

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Ik Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Ik Han. 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 Jae‐Ik Han. The network helps show where Jae‐Ik Han may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201361
2
[Report on the first nationwide survey of the distribution of human parasites in China. 1. Regional distribution of parasite species].
199459
3 200957
4 201533
5 201932
6 200929
7 202021
8 201019
9 202318
10 201017
11 201715
12 201814
13 200913
14 201513
15 202011
16 201510
17 20129
18 20178
19 20198
20 20088

About Jae‐Ik Han

Jae‐Ik Han is a scholar working on Infectious Diseases, Parasitology, Epidemiology, Small Animals and Molecular Biology, having authored 59 papers that have together received 570 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (9 papers), Bird parasitology and diseases (9 papers), Viral Infections and Vectors (9 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Microbial infections and disease research (5 papers), Vector-Borne Animal Diseases (4 papers), Nail Diseases and Treatments (4 papers) and Cardiovascular Conditions and Treatments (4 papers). The work is most often cited by research in Parasitology (183 citations), Infectious Diseases (185 citations), Microbiology (37 citations), Small Animals (42 citations) and Ecology, Evolution, Behavior and Systematics (114 citations). Jae‐Ik Han has collaborated with scholars based in South Korea, China and Hungary. Frequent co-authors include Ki‐Jeong Na, Hye-Jin Jang, Hee‐Myung Park, Sukyung Kim, Jeong‐Ho Kim, Said Amer, Julie Lin, Feng Xu, Shenyang Yu and Lei Xu. Their work appears in journals such as Frontiers in Veterinary Science, Journal of Veterinary Science, Journal of Wildlife Diseases, Animals and Veterinary Quarterly.

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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