Lu Huang
- Immunology top 2%
- Immune cells in cancer 14
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 8
- Aquaculture disease management and microbiota 7
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 16
- Aquatic Science top 2%
- Parasitology top 5%
- Molecular Biology top 5%
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- Plant Stress Responses and Tolerance 11
- Plant nutrient uptake and metabolism 7
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- Mycobacterium research and diagnosis 9
- Co-authors
- David G. RussellBrian C. VanderVenEvgeniya V. NazarovaJudith A. AppletonShumin TanYan‐Cheng LiuGuoping ZhangDavide Pisu
- Journals
- The Journal of Immunology (6 papers)The Journal of Experimental Medicine (4 papers)PLoS Pathogens (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lu Huang
124 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Immunology 1.2k
- Infectious Diseases 910
- Aquatic Science 208
- Parasitology 155
- Molecular Biology 1.6k
Countries citing papers authored by Lu Huang
This map shows the geographic impact of Lu Huang'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 Lu Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Huang more than expected).
Fields of papers citing papers by Lu Huang
This network shows the impact of papers produced by Lu Huang. 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 Lu Huang. The network helps show where Lu Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lu Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 7 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 5 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 5 | |
| 11 | 2021 | 109 | |
| 12 | 2020 | 72 | |
| 13 | 2020 | 16 | |
| 14 | 2019 | 49 | |
| 15 | 2019 | 334 | |
| 16 | 2019 | 14 | |
| 17 | 2018 | 59 | |
| 18 | 2018 | 9 | |
| 19 | Growth of Mycobacterium tuberculosis in vivo segregates with host macrophage metabolism and ontogenybreakdown → | 2018 | 362 |
| 20 | Review : Good Agriculture Practice (GAP) and Sustainable Resource Utilization of Chinese Materia Medica | 2002 | 2 |
About Lu Huang
Lu Huang is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Molecular Medicine and Aquatic Science, having authored 130 papers that have together received 4.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Immune cells in cancer (14 papers), Plant Stress Responses and Tolerance (11 papers), T-cell and B-cell Immunology (10 papers), Mycobacterium research and diagnosis (9 papers), Immune Cell Function and Interaction (8 papers), Aquaculture disease management and microbiota (7 papers) and Plant nutrient uptake and metabolism (7 papers). The work is most often cited by research in Immunology (1.2k citations), Infectious Diseases (910 citations), Aquatic Science (208 citations), Parasitology (155 citations) and Molecular Biology (1.6k citations). Lu Huang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include David G. Russell, Brian C. VanderVen, Evgeniya V. Nazarova, Judith A. Appleton, Shumin Tan, Yan‐Cheng Liu, Guoping Zhang, Davide Pisu, Dezhi Wu and Jennifer K. Grenier. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, PLoS Pathogens, Scientific Reports and Plant Growth Regulation.
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.