Fen Yan

1.2k citations
30 papers · 862 indexed · h-index 15

Impact in

  • Parasitology top 0.5%
    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics
    • Vector-borne infectious diseases
  • Virology top 5%
    • Rabies epidemiology and control

Papers in

    • Toxoplasma gondii Research Studies 10
    • Parasitic Infections and Diagnostics 5
    • Vector-borne infectious diseases 3
    • Herpesvirus Infections and Treatments 4
    • Trypanosoma species research and implications 3

Fen Yan

30 papers receiving 852 citations

Peers

Fen Yan
Comparison fields: 5 of 70
  • Parasitology 609
  • Virology 82
  • Epidemiology 379
  • Insect Science 53
  • Microbiology 25
Replace E. Keats Shwab with:
E. Keats Shwab United States
Magda Beier‐Sexton United States
Qianjin Zhou China
Margaret Whipp Australia
Akiko Ishiwa Japan
Safia Ouahrani‐Bettache France
Mariana G. Corigliano Argentina
Harry D. Danforth United States
Zhiru Li United States
Fen Yan relative to E. Keats Shwab United States E. Keats Shwab's profile →
Citations per field
00.5×1.5×2.4×
E. Keats Shwab · 1×
Citations per year

Countries citing papers authored by Fen Yan

Since Specialization
Citations

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

Fields of papers citing papers by Fen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013129
2 1998106
3 200194
4 202058
5 201958
6 201651
7 199946
8 199946
9 201544
10 202127
11 200422
12 201020
13 201518
14 200417
15 202215
16 201112
17 202212
18 201411
19 201011
20
Morphological and molecular identification of Haemaphysalis flava.
201510

About Fen Yan

Fen Yan is a scholar working on Parasitology, Epidemiology, Molecular Biology, Plant Science and Infectious Diseases, having authored 30 papers that have together received 862 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (10 papers), Parasitic Infections and Diagnostics (5 papers), Herpesvirus Infections and Treatments (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Trypanosoma species research and implications (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Enzyme Production and Characterization (3 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Parasitology (609 citations), Virology (82 citations), Epidemiology (379 citations), Insect Science (53 citations) and Microbiology (25 citations). Fen Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Louis M. Weiss, Murray Wittner, Kami Kim, Herbert B. Tanowitz, Yi Wei Zhang, Sandra K. Halonen, Tadakimi Tomita, Peter M. Takvorian, Barbara A. Fox and Ronald C. Taylor. Their work appears in journals such as International Journal for Parasitology, Biological Control, Infection and Immunity, Experimental and Applied Acarology and Cell Cycle.

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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