Lifeng Good
Impact in
- Immunology top 10%
- T-cell and Retrovirus Studies
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
-
- T-cell and Retrovirus Studies 4
- Galectins and Cancer Biology 1
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- DNA Repair Mechanisms 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Edward W. Harhaj (4 shared papers)Shao‐Cong Sun (4 shared papers)Shuna Sun (1 shared paper)Kuang Yu Chen (4 shared papers)Gutian Xiao (2 shared papers)Sanjay B. Maggirwar (2 shared papers)Mark Uhlik (1 shared paper)Mary Ellen Cvijic (1 shared paper)
- Journals
- Journal of Cellular Physiology (2 papers)Journal of Virology (1 paper)Experimental Gerontology (1 paper)Journal of Biological Chemistry (1 paper)Neurosignals (1 paper)
- Partner nations
- United States
In The Last Decade
Lifeng Good
10 papers receiving 380 citations
Peers
Comparison fields: 5 of 53
- Immunology 250
- Cancer Research 171
- Agronomy and Crop Science 82
- Ecology, Evolution, Behavior and Systematics 65
- Oncology 78
Countries citing papers authored by Lifeng Good
This map shows the geographic impact of Lifeng Good'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 Lifeng Good with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lifeng Good more than expected).
Fields of papers citing papers by Lifeng Good
This network shows the impact of papers produced by Lifeng Good. 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 Lifeng Good. The network helps show where Lifeng Good may publish in the future.
Co-authors
The 21 scholars most cited alongside Lifeng Good, 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 | 2000 | 104 | |
| 2 | 1996 | 67 | |
| 3 | 1996 | 60 | |
| 4 | 1996 | 42 | |
| 5 | 2000 | 34 | |
| 6 | 1997 | 25 | |
| 7 | 1996 | 20 | |
| 8 | 1995 | 17 | |
| 9 | 1996 | 13 | |
| 10 | The use of cDNA microarrays to investigate changes in gene expression in the involuting bovine mammary gland | 2004 | 1 |
About Lifeng Good
Lifeng Good is a scholar working on Immunology, Molecular Biology, Agronomy and Crop Science, Cancer Research and Oncology, having authored 10 papers that have together received 383 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), T-cell and Retrovirus Studies (4 papers), Cancer-related Molecular Pathways (3 papers), Animal Disease Management and Epidemiology (3 papers), DNA Repair Mechanisms (2 papers), Vector-Borne Animal Diseases (2 papers), Ubiquitin and proteasome pathways (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (250 citations), Cancer Research (171 citations), Agronomy and Crop Science (82 citations), Ecology, Evolution, Behavior and Systematics (65 citations) and Oncology (78 citations). Lifeng Good has collaborated with scholars based in United States. Frequent co-authors include Edward W. Harhaj, Shao‐Cong Sun, Shuna Sun, Kuang Yu Chen, Gutian Xiao, Sanjay B. Maggirwar, Mark Uhlik, Mary Ellen Cvijic, Judith Campisi and Goberdhan P. Dimri. Their work appears in journals such as Journal of Cellular Physiology, Journal of Virology, Experimental Gerontology, Journal of Biological Chemistry and Neurosignals.
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.