Si‐Ming Zhang
Impact in
- Parasitology top 0.5%
- Parasites and Host Interactions
- Immunology top 2%
- Invertebrate Immune Response Mechanisms
- Aquaculture disease management and microbiota
Papers in
- Parasitology 31
- Parasites and Host Interactions 31
- Ecology 17
- Parasite Biology and Host Interactions 16
- Co-authors
- Eric S. Loker (25 shared papers)Coen M. Adema (8 shared papers)Thomas B. Kepler (2 shared papers)Patrick C. Hanington (2 shared papers)Yong Zeng (2 shared papers)Bin Liu (1 shared paper)Xue Feng (1 shared paper)Lijun Lu (8 shared papers)
- Journals
- PLoS neglected tropical diseases (4 papers)Scientific Reports (3 papers)BMC Genomics (2 papers)Parasites & Vectors (2 papers)Immunogenetics (2 papers)
- Partner nations
- United StatesChinaKenya
In The Last Decade
Si‐Ming Zhang
58 papers receiving 2.5k citations
Si‐Ming Zhang's Hit Papers
Peers
Comparison fields: 5 of 131
- Parasitology 779
- Immunology 1.1k
- Small Animals 218
- Microbiology 151
- Ecology 650
Countries citing papers authored by Si‐Ming Zhang
This map shows the geographic impact of Si‐Ming Zhang'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 Si‐Ming Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si‐Ming Zhang more than expected).
Fields of papers citing papers by Si‐Ming Zhang
This network shows the impact of papers produced by Si‐Ming Zhang. 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 Si‐Ming Zhang. The network helps show where Si‐Ming Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Si‐Ming Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Invertebrate immune systems – not homogeneous, not simple, not well understood Hit paper breakdown → | 2004 | 573 |
| 2 | 2004 | 307 | |
| 3 | 2010 | 166 | |
| 4 | 2010 | 129 | |
| 5 | 2009 | 92 | |
| 6 | 2003 | 80 | |
| 7 | 2004 | 79 | |
| 8 | 2008 | 74 | |
| 9 | 2001 | 69 | |
| 10 | 2023 | 64 | |
| 11 | 2012 | 59 | |
| 12 | 2021 | 52 | |
| 13 | 2007 | 52 | |
| 14 | 2008 | 45 | |
| 15 | 2020 | 38 | |
| 16 | 2011 | 38 | |
| 17 | 2014 | 36 | |
| 18 | 2015 | 34 | |
| 19 | 2020 | 33 | |
| 20 | 2016 | 32 |
About Si‐Ming Zhang
Si‐Ming Zhang is a scholar working on Parasitology, Ecology, Immunology, Genetics and Small Animals, having authored 60 papers that have together received 2.5k indexed citations. Recurring topics across this work include Parasites and Host Interactions (31 papers), Parasite Biology and Host Interactions (16 papers), Invertebrate Immune Response Mechanisms (10 papers), Helminth infection and control (5 papers), Microwave Engineering and Waveguides (4 papers), Antenna Design and Analysis (4 papers), Fish Ecology and Management Studies (3 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Parasitology (779 citations), Immunology (1.1k citations), Small Animals (218 citations), Microbiology (151 citations) and Ecology (650 citations). Si‐Ming Zhang has collaborated with scholars based in United States, China and Kenya. Frequent co-authors include Eric S. Loker, Coen M. Adema, Thomas B. Kepler, Patrick C. Hanington, Yong Zeng, Bin Liu, Xue Feng, Lijun Lu, Bin Fan and Lijing Bu. Their work appears in journals such as PLoS neglected tropical diseases, Scientific Reports, BMC Genomics, Parasites & Vectors and Immunogenetics.
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.