Chamutal Gur
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Reproductive System and Pregnancy
- IL-33, ST2, and ILC Pathways
- Immune cells in cancer
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Immunology 23
- Immune Cell Function and Interaction 19
- T-cell and B-cell Immunology 5
- Immune cells in cancer 3
- Immune Response and Inflammation 3
- Epidemiology 10
- Co-authors
- Ofer Mandelboim (23 shared papers)Moran Elboim (6 shared papers)Hormas Ghadially (5 shared papers)Hagit Achdout (7 shared papers)Ariella Glasner (8 shared papers)E. Philip Horwitz (3 shared papers)Noa Stanietsky (2 shared papers)Noam Stern‐Ginossar (3 shared papers)
- Journals
- The Journal of Immunology (4 papers)Cell Reports (3 papers)OncoImmunology (3 papers)Arthritis Care & Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Chamutal Gur
38 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 97
- Immunology 1.3k
- Oncology 487
- Cancer Research 196
- Epidemiology 369
- Hepatology 83
Countries citing papers authored by Chamutal Gur
This map shows the geographic impact of Chamutal Gur'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 Chamutal Gur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chamutal Gur more than expected).
Fields of papers citing papers by Chamutal Gur
This network shows the impact of papers produced by Chamutal Gur. 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 Chamutal Gur. The network helps show where Chamutal Gur may publish in the future.
Co-authors
The 25 scholars most cited alongside Chamutal Gur, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 259 | |
| 2 | 2003 | 183 | |
| 3 | 2009 | 151 | |
| 4 | 2011 | 140 | |
| 5 | 2012 | 135 | |
| 6 | 2019 | 127 | |
| 7 | 2009 | 125 | |
| 8 | 2012 | 112 | |
| 9 | 2012 | 110 | |
| 10 | 2010 | 77 | |
| 11 | 2023 | 70 | |
| 12 | 2016 | 70 | |
| 13 | 2019 | 64 | |
| 14 | 2008 | 59 | |
| 15 | 2011 | 55 | |
| 16 | 2010 | 55 | |
| 17 | 2013 | 52 | |
| 18 | 2013 | 49 | |
| 19 | 2019 | 49 | |
| 20 | 2014 | 34 |
About Chamutal Gur
Chamutal Gur is a scholar working on Immunology, Epidemiology, Surgery, Molecular Biology and Oncology, having authored 40 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (5 papers), Immune cells in cancer (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Immune Response and Inflammation (3 papers), Pancreatic function and diabetes (3 papers), Diabetes and associated disorders (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (487 citations), Cancer Research (196 citations), Epidemiology (369 citations) and Hepatology (83 citations). Chamutal Gur has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Ofer Mandelboim, Moran Elboim, Hormas Ghadially, Hagit Achdout, Ariella Glasner, E. Philip Horwitz, Noa Stanietsky, Noam Stern‐Ginossar, Gilad Bachrach and Michal Mandelboim. Their work appears in journals such as The Journal of Immunology, Cell Reports, OncoImmunology, Arthritis Care & Research and PLoS ONE.
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.