Sam John
Impact in
- Behavioral Neuroscience top 2%
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
Papers in
-
- Genomics and Chromatin Dynamics 43
- RNA Research and Splicing 22
- Epigenetics and DNA Methylation 8
- RNA and protein synthesis mechanisms 7
- RNA Interference and Gene Delivery 5
- Protein Degradation and Inhibitors 5
- Genetics 18
- Estrogen and related hormone effects 17
- Co-authors
- Gordon L. HagerMyong‐Hee SungThomas A. JohnsonJerry L. WorkmanJ StamatoyannopoulosSimon C. BiddiePatrick A. GrantRobert E. Thurman
- Journals
- Journal of Biological Chemistry (4 papers)Molecular Cell (4 papers)Molecular and Cellular Biology (4 papers)Epigenetics & Chromatin (3 papers)The Journal of Cell Biology (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Sam John
65 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Behavioral Neuroscience 306
- Molecular Biology 5.1k
- Genetics 1.4k
- Cancer Research 543
- Immunology 700
Countries citing papers authored by Sam John
This map shows the geographic impact of Sam John'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 Sam John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam John more than expected).
Fields of papers citing papers by Sam John
This network shows the impact of papers produced by Sam John. 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 Sam John. The network helps show where Sam John may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sam John, 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 | 2024 | 0 | |
| 2 | 2024 | 24 | |
| 3 | 2023 | 3 | |
| 4 | 2017 | 33 | |
| 5 | 2015 | 74 | |
| 6 | 2013 | 104 | |
| 7 | 2013 | 112 | |
| 8 | 2012 | 37 | |
| 9 | 2012 | 70 | |
| 10 | 2011 | 111 | |
| 11 | 2011 | 257 | |
| 12 | 2009 | 64 | |
| 13 | 2009 | 60 | |
| 14 | 2008 | 69 | |
| 15 | 2003 | 71 | |
| 16 | 2003 | 48 | |
| 17 | 2002 | 35 | |
| 18 | 2000 | 75 | |
| 19 | 1998 | 66 | |
| 20 | 1997 | 40 |
About Sam John
Sam John is a scholar working on Molecular Biology, Genetics, Immunology, Computer Science Applications and Cancer Research, having authored 67 papers that have together received 6.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (43 papers), RNA Research and Splicing (22 papers), Estrogen and related hormone effects (17 papers), Epigenetics and DNA Methylation (8 papers), RNA and protein synthesis mechanisms (7 papers), RNA Interference and Gene Delivery (5 papers), Protein Degradation and Inhibitors (5 papers) and NF-κB Signaling Pathways (5 papers). The work is most often cited by research in Behavioral Neuroscience (306 citations), Molecular Biology (5.1k citations), Genetics (1.4k citations), Cancer Research (543 citations) and Immunology (700 citations). Sam John has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Gordon L. Hager, Myong‐Hee Sung, Thomas A. Johnson, Jerry L. Workman, J Stamatoyannopoulos, Simon C. Biddie, Patrick A. Grant, Robert E. Thurman, Anton Eberharter and Peter J. Sabo. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, Molecular and Cellular Biology, Epigenetics & Chromatin and The Journal of Cell Biology.
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.