Stephen M. Lu
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Health Informatics top 5%
Papers in
- Parasitology 18
- Vector-borne infectious diseases 18
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- Insect symbiosis and bacterial influences 7
- Insect and Pesticide Research 4
- Co-authors
- Robert S. Hodges (3 shared papers)James P. Bradley (4 shared papers)Aparecida Sadae Tanaka (9 shared papers)José M. C. Ribeiro (15 shared papers)R.S. Cheng (4 shared papers)Scott Paul P. Bartlett (2 shared papers)Kevin Yi Chen (5 shared papers)Dmitry A. Goncharov (1 shared paper)
- Journals
- Plastic & Reconstructive Surgery (7 papers)BMC Genomics (4 papers)Biochimie (3 papers)Ticks and Tick-borne Diseases (3 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesBrazilCzechia
In The Last Decade
Stephen M. Lu
59 papers receiving 900 citations
Peers
Comparison fields: 5 of 108
- Parasitology 149
- Health Informatics 32
- Biotechnology 94
- Dermatology 80
- Insect Science 101
Countries citing papers authored by Stephen M. Lu
This map shows the geographic impact of Stephen M. Lu'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 Stephen M. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen M. Lu more than expected).
Fields of papers citing papers by Stephen M. Lu
This network shows the impact of papers produced by Stephen M. Lu. 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 Stephen M. Lu. The network helps show where Stephen M. Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen M. Lu, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 106 | |
| 2 | 2005 | 97 | |
| 3 | 2001 | 87 | |
| 4 | 2019 | 54 | |
| 5 | 2012 | 41 | |
| 6 | 2020 | 36 | |
| 7 | 2021 | 34 | |
| 8 | 2014 | 31 | |
| 9 | 2020 | 31 | |
| 10 | 2019 | 30 | |
| 11 | 2004 | 30 | |
| 12 | 2018 | 28 | |
| 13 | 2014 | 26 | |
| 14 | 2002 | 24 | |
| 15 | 2014 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 1999 | 16 | |
| 18 | 2023 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 11 |
About Stephen M. Lu
Stephen M. Lu is a scholar working on Parasitology, Insect Science, Immunology, Genetics and Public Health, Environmental and Occupational Health, having authored 62 papers that have together received 932 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (18 papers), Invertebrate Immune Response Mechanisms (8 papers), Insect symbiosis and bacterial influences (7 papers), Mosquito-borne diseases and control (7 papers), Insect Resistance and Genetics (7 papers), Craniofacial Disorders and Treatments (5 papers), Facial Rejuvenation and Surgery Techniques (4 papers) and Insect and Pesticide Research (4 papers). The work is most often cited by research in Parasitology (149 citations), Health Informatics (32 citations), Biotechnology (94 citations), Dermatology (80 citations) and Insect Science (101 citations). Stephen M. Lu has collaborated with scholars based in United States, Brazil and Czechia. Frequent co-authors include Robert S. Hodges, James P. Bradley, Aparecida Sadae Tanaka, José M. C. Ribeiro, R.S. Cheng, Scott Paul P. Bartlett, Kevin Yi Chen, Dmitry A. Goncharov, Wittaya Pimtong and Elena A. Goncharova. Their work appears in journals such as Plastic & Reconstructive Surgery, BMC Genomics, Biochimie, Ticks and Tick-borne Diseases and Scientific Reports.
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.