Long Gao
Impact in
- Immunology top 10%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
Papers in
-
- Endometriosis Research and Treatment 5
- Immunology 14
- Immune Response and Inflammation 5
- Reproductive System and Pregnancy 5
- Co-authors
- Kai TanKlaus H. KaestnerNancy A. SpeckXiaoke MaAli NajiJonathan SchugChengyang LiuYue J. Wang
- Journals
- Animal Reproduction Science (4 papers)Prostaglandins Leukotrienes and Essential Fatty Acids (3 papers)Cell Metabolism (2 papers)Oncology Reports (2 papers)Genes & Development (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Long Gao
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 115
- Immunology 269
- Molecular Biology 788
- Hematology 117
- Genetics 284
- Cancer Research 136
Countries citing papers authored by Long Gao
This map shows the geographic impact of Long Gao'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 Long Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Gao more than expected).
Fields of papers citing papers by Long Gao
This network shows the impact of papers produced by Long Gao. 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 Long Gao. The network helps show where Long Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Gao, 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 | 2023 | 8 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 40 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 34 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 58 | |
| 11 | 2020 | 35 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 4 | |
| 14 | 2018 | 62 | |
| 15 | 2018 | 40 | |
| 16 | 2017 | 14 | |
| 17 | 2016 | 35 | |
| 18 | 2016 | 11 | |
| 19 | 2014 | 158 | |
| 20 | DETECTION OF SPRING VIREMIA OF CARP VIRUS (SVCV)GENE USING REVERSE-POLYMERASE CHAIN-REACTION (RT-PCR) | 2002 | 3 |
About Long Gao
Long Gao is a scholar working on Reproductive Medicine, Immunology, Cancer Research, Hepatology and Agronomy and Crop Science, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Immune Response and Inflammation (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Inflammatory mediators and NSAID effects (5 papers), Endometriosis Research and Treatment (5 papers), Reproductive System and Pregnancy (5 papers) and Reproductive Physiology in Livestock (5 papers). The work is most often cited by research in Immunology (269 citations), Molecular Biology (788 citations), Hematology (117 citations), Genetics (284 citations) and Cancer Research (136 citations). Long Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kai Tan, Klaus H. Kaestner, Nancy A. Speck, Xiaoke Ma, Ali Naji, Jonathan Schug, Chengyang Liu, Yue J. Wang, Peng Gao and Alvin C. Powers. Their work appears in journals such as Animal Reproduction Science, Prostaglandins Leukotrienes and Essential Fatty Acids, Cell Metabolism, Oncology Reports and Genes & Development.
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.