Chagai Grossman
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid 5
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies 4
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research 3
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- Cardiovascular Function and Risk Factors 5
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- Inflammasome and immune disorders 11
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- Vasculitis and related conditions 7
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- Cardiac Imaging and Diagnostics 5
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- Kawasaki Disease and Coronary Complications 5
- Co-authors
- Ilan Ben‐ZviGil BornsteinEhud GrossmanAvi LivnehNira Koren‐MoragOlga KukuyMerav LidarIris Barshack
- Cited by
- NephrologyRheumatologyImmunology
- Partner nations
- IsraelUnited StatesRussia
In The Last Decade
Chagai Grossman
41 papers receiving 778 citations
Peers
Comparison fields: 5 of 89
- Nephrology 133
- Rheumatology 150
- Immunology 191
- Hematology 100
- Cardiology and Cardiovascular Medicine 161
Countries citing papers authored by Chagai Grossman
This map shows the geographic impact of Chagai Grossman'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 Chagai Grossman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chagai Grossman more than expected).
Fields of papers citing papers by Chagai Grossman
This network shows the impact of papers produced by Chagai Grossman. 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 Chagai Grossman. The network helps show where Chagai Grossman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chagai Grossman, 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 | 2020 | 8 | |
| 2 | 2019 | 4 | |
| 3 | 2019 | 10 | |
| 4 | 2019 | 23 | |
| 5 | 2019 | 18 | |
| 6 | 2018 | 36 | |
| 7 | 2018 | 14 | |
| 8 | The prevalence and clinical effect of immunogenicity of TNF-α blockers in patients with axial spondyloarthritis. | 2018 | 9 |
| 9 | 2018 | 11 | |
| 10 | Risk factors for severe cranial ischaemic events in patients with giant cell arteritis. | 2017 | 8 |
| 11 | 2016 | 17 | |
| 12 | 2015 | 5 | |
| 13 | 2015 | 3 | |
| 14 | 2014 | 85 | |
| 15 | 2014 | 13 | |
| 16 | 2013 | 7 | |
| 17 | 2012 | 18 | |
| 18 | 2011 | 25 | |
| 19 | 2010 | 44 | |
| 20 | 2008 | 19 |
About Chagai Grossman
Chagai Grossman is a scholar working on Nephrology, Medical Laboratory Technology and Rheumatology, having authored 41 papers that have together received 788 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (11 papers), Vasculitis and related conditions (7 papers), Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Function and Risk Factors (5 papers), Kawasaki Disease and Coronary Complications (5 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). The work is most often cited by research in Nephrology (133 citations), Rheumatology (150 citations) and Immunology (191 citations). Chagai Grossman has collaborated with scholars based in Israel, United States and Russia. Frequent co-authors include Ilan Ben‐Zvi, Gil Bornstein, Ehud Grossman, Avi Livneh, Nira Koren‐Morag, Olga Kukuy, Merav Lidar, Iris Barshack, Dahlia Weitzman and Varda Shalev. Their work appears in journals such as Annals of Internal Medicine, PLoS ONE and Hypertension.
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.