John Glod
Impact in
Papers in
- Co-authors
- Debabrata Banerjee (13 shared papers)Pravin J. Mishra (4 shared papers)Prasun Mishra (3 shared papers)Daniel Medina (2 shared papers)Jill P. Mesirov (1 shared paper)Rita Humeniuk (1 shared paper)Gabriela Alexe (1 shared paper)Hui Gao (2 shared papers)
- Journals
- Journal of Clinical Oncology (16 papers)Neuro-Oncology (6 papers)Cancer Research (4 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Experimental Cell Research (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
John Glod
86 papers receiving 3.4k citations
John Glod's Hit Papers
Peers
Comparison fields: 5 of 109
- Genetics 1.1k
- Oncology 1.2k
- Cancer Research 661
- Immunology 397
- Molecular Biology 1.3k
Countries citing papers authored by John Glod
This map shows the geographic impact of John Glod'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 Glod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Glod more than expected).
Fields of papers citing papers by John Glod
This network shows the impact of papers produced by John Glod. 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 Glod. The network helps show where John Glod may publish in the future.
Co-authors
The 25 scholars most cited alongside John Glod, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Carcinoma-Associated Fibroblast–Like Differentiation of Human Mesenchymal Stem Cells Hit paper breakdown → | 2008 | 764 |
| 2 | 2004 | 220 | |
| 3 | 2006 | 204 | |
| 4 | 2009 | 184 | |
| 5 | 2009 | 154 | |
| 6 | 2010 | 154 | |
| 7 | 2011 | 145 | |
| 8 | 1994 | 139 | |
| 9 | 2021 | 114 | |
| 10 | 2012 | 114 | |
| 11 | 2007 | 113 | |
| 12 | 2007 | 84 | |
| 13 | 2003 | 77 | |
| 14 | 2012 | 73 | |
| 15 | 2001 | 60 | |
| 16 | 2019 | 60 | |
| 17 | 2017 | 59 | |
| 18 | 1991 | 58 | |
| 19 | 2008 | 48 | |
| 20 | 2005 | 46 |
About John Glod
John Glod is a scholar working on Genetics, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 89 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (14 papers), Neuroblastoma Research and Treatments (13 papers), Mesenchymal stem cell research (13 papers), Sarcoma Diagnosis and Treatment (13 papers), Glioma Diagnosis and Treatment (13 papers), Thyroid Cancer Diagnosis and Treatment (10 papers), Cancer Cells and Metastasis (8 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Genetics (1.1k citations), Oncology (1.2k citations), Cancer Research (661 citations), Immunology (397 citations) and Molecular Biology (1.3k citations). John Glod has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Debabrata Banerjee, Pravin J. Mishra, Prasun Mishra, Daniel Medina, Jill P. Mesirov, Rita Humeniuk, Gabriela Alexe, Hui Gao, Kevin Anton and Sonia C. Picinich. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Cancer Research, The Journal of Clinical Endocrinology & Metabolism and Experimental Cell Research.
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.