Jingxia Suo

756 citations
39 papers · 606 · h-index 16

Impact in

    • Coccidia and coccidiosis research
    • Animal Nutrition and Physiology
    • Parasitic Infections and Diagnostics
    • Toxoplasma gondii Research Studies

Papers in

    • Coccidia and coccidiosis research 35
    • Animal Nutrition and Physiology 7
    • Parasitic Infections and Diagnostics 24
    • Toxoplasma gondii Research Studies 4

Jingxia Suo

36 papers receiving 601 citations

Peers

Jingxia Suo
Comparison fields: 5 of 64
  • Animal Science and Zoology 435
  • Parasitology 262
  • Small Animals 280
  • Insect Science 39
  • Microbiology 16
Replace Marilyn Katrib with:
Marilyn Katrib Australia
Hui Dong China
Wenchao Yan China
Peter L. Long United States
R. Venu India
Hanna Lucia Worliczek Austria
Richard G. Strout United States
F. López-Bernad Spain
Shobha Yadav India
Mingxin Song China
Jingxia Suo relative to Marilyn Katrib Australia Marilyn Katrib's profile →
Citations per field
00.5×3.8×
Marilyn Katrib · 1×
Citations per year

Countries citing papers authored by Jingxia Suo

Since Specialization
Citations

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

Fields of papers citing papers by Jingxia Suo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201863
2 201847
3 201343
4 201638
5 201837
6 201636
7 201830
8 201525
9 201921
10 201620
11 201419
12 201717
13 202017
14 201717
15 201816
16 201915
17 201915
18 202014
19 202312
20 201312

About Jingxia Suo

Jingxia Suo is a scholar working on Animal Science and Zoology, Parasitology, Small Animals, Epidemiology and Insect Science, having authored 39 papers that have together received 606 indexed citations. Recurring topics across this work include Coccidia and coccidiosis research (35 papers), Parasitic Infections and Diagnostics (24 papers), Veterinary medicine and infectious diseases (11 papers), Helminth infection and control (11 papers), Animal Nutrition and Physiology (7 papers), Insect and Pesticide Research (4 papers), Toxoplasma gondii Research Studies (4 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Animal Science and Zoology (435 citations), Parasitology (262 citations), Small Animals (280 citations), Insect Science (39 citations) and Microbiology (16 citations). Jingxia Suo has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Xun Suo, Xianyong Liu, Xinming Tang, Guangwen Yin, Mei Qin, Sixin Zhang, Chunhui Duan, Dandan Hu, Chaoyue Wang and Guangping Huang. Their work appears in journals such as Parasites & Vectors, Infection and Immunity, Frontiers in Immunology, Parasitology Research and Veterinary Research.

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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