John R. Subjeck
- Molecular Biology top 1%
- Immunology top 1%
- Cell Biology top 0.5%
- Oncology top 5%
- Physical and Theoretical Chemistry top 0.5%
- Co-authors
- Xiang‐Yang WangJ J SciandraElizabeth A. RepaskyMasoud H. ManjiliDouglas P. EastonXing ChenChunqing GuoXiangyang Wang
- Topics
- Heat shock proteins research (69 papers)Immunotherapy and Immune Responses (25 papers)Endoplasmic Reticulum Stress and Disease (25 papers)
- Cited by
- ImmunologyAgingCell Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesChinaIndia
In The Last Decade
John R. Subjeck
116 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 4.2k
- Immunology 2.1k
- Cell Biology 1.4k
- Oncology 798
- Physical and Theoretical Chemistry 656
Countries citing papers authored by John R. Subjeck
This map shows the geographic impact of John R. Subjeck'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 John R. Subjeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Subjeck more than expected).
Fields of papers citing papers by John R. Subjeck
This network shows the impact of papers produced by John R. Subjeck. 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 John R. Subjeck. The network helps show where John R. Subjeck may publish in the future.
Co-authorship network of co-authors of John R. Subjeck
This figure shows the co-authorship network connecting the top 25 collaborators of John R. Subjeck. A scholar is included among the top collaborators of John R. Subjeck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John R. Subjeck. John R. Subjeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 7 | |
| 3 | 85 | |
| 4 | 33 | |
| 5 | 28 | |
| 6 | 89 | |
| 7 | 25 | |
| 8 | 44 | |
| 9 | 22 | |
| 10 | 62 | |
| 11 | 27 | |
| 12 | 33 | |
| 13 | 25 | |
| 14 | Development of a recombinant HSP110-HER-2/neu vaccine using the chaperoning properties of HSP110. | 75 |
| 15 | 136 | |
| 16 | 93 | |
| 17 | 181 | |
| 18 | 138 | |
| 19 | 3 | |
| 20 | 5 |
About John R. Subjeck
John R. Subjeck is a scholar working on Physical and Theoretical Chemistry, Immunology and Cell Biology, having authored 117 papers that have together received 6.1k indexed citations. Recurring topics across this work include Heat shock proteins research (69 papers), Immunotherapy and Immune Responses (25 papers) and Endoplasmic Reticulum Stress and Disease (25 papers). The work is most often cited by research in Immunology (2.1k citations), Aging (150 citations) and Cell Biology (1.4k citations). John R. Subjeck has collaborated with scholars based in United States, China and India. Frequent co-authors include Xiang‐Yang Wang, J J Sciandra, Elizabeth A. Repasky, Masoud H. Manjili, Douglas P. Easton, Xing Chen, Chunqing Guo, Xiangyang Wang, Richard J. Johnson and Yoshiyuki Kaneko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.