Yaming Cao

2.5k citations
99 papers · 1.8k · h-index 24

Impact in

Papers in

Yaming Cao

97 papers receiving 1.8k citations

Peers

Yaming Cao
Comparison fields: 5 of 109
  • Public Health, Environmental and Occupational Health 896
  • Immunology 626
  • Parasitology 196
  • Virology 35
  • Neurology 42
Replace Rajeshwara N. Achur with:
Rajeshwara N. Achur India
Wenyue Xu China
M. Djavad Mossalayi France
Wander Rogério Pavanelli Brazil
Balwan Singh United States
Heloísa D’Ávila Brazil
Jung‐Yeon Kim South Korea
Ryan C. Murphy United States
Wildriss Viranaïcken France
Milena Menegazzo Miranda-Sapla Brazil
Yaming Cao relative to Rajeshwara N. Achur India Rajeshwara N. Achur's profile →
Citations per field
00.5×1.5×2.2×
Rajeshwara N. Achur · 1×
Citations per year

Countries citing papers authored by Yaming Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yaming Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998105
2 200175
3 200965
4 201264
5 201460
6 202059
7 202156
8 200654
9 200351
10 201650
11 199748
12 201342
13 201438
14 199834
15 200932
16 201131
17 201031
18 201131
19 201230
20 201630

About Yaming Cao

Yaming Cao is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Molecular Biology, Parasitology and Virology, having authored 99 papers that have together received 1.8k indexed citations. Recurring topics across this work include Malaria Research and Control (59 papers), Mosquito-borne diseases and control (20 papers), Complement system in diseases (16 papers), Immune Cell Function and Interaction (13 papers), Invertebrate Immune Response Mechanisms (10 papers), HIV Research and Treatment (6 papers), Aquaculture disease management and microbiota (6 papers) and Vector-borne infectious diseases (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (896 citations), Immunology (626 citations), Parasitology (196 citations), Virology (35 citations) and Neurology (42 citations). Yaming Cao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Takafumi Tsuboi, Motomi Torii, Liwang Cui, Xiaotong Zhu, Hui Feng, Mayumi Tachibana, Qinghui Wang, Jun Liu, David C. Kaslow and Lingyun Jia. Their work appears in journals such as Parasites & Vectors, International Immunopharmacology, Experimental Parasitology, Infection and Immunity and Malaria Journal.

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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