Kasra X. Ramyar
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- Monoclonal and Polyclonal Antibodies Research 4
- Oncology top 5%
- Peptidase Inhibition and Analysis 3
- Virology top 5%
- Cell Biology top 5%
- Immunology top 5%
- Complement system in diseases 4
- Toxin Mechanisms and Immunotoxins 4
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
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- Antimicrobial Resistance in Staphylococcus 9
- Clostridium difficile and Clostridium perfringens research 4
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- Biochemical and Structural Characterization 7
- Co-authors
- Daniel J. LeahyDan W. DenneySandra B. GabelliAnn Marie StanleyHyun‐Soo ChoAndreas MerdesDon W. ClevelandBrian V. Geisbrecht
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Kasra X. Ramyar
26 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 874
- Oncology 902
- Virology 154
- Cell Biology 444
- Immunology 522
Countries citing papers authored by Kasra X. Ramyar
This map shows the geographic impact of Kasra X. Ramyar'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 Kasra X. Ramyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kasra X. Ramyar more than expected).
Fields of papers citing papers by Kasra X. Ramyar
This network shows the impact of papers produced by Kasra X. Ramyar. 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 Kasra X. Ramyar. The network helps show where Kasra X. Ramyar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kasra X. Ramyar, 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 | 2022 | 4 | |
| 2 | 2018 | 19 | |
| 3 | 2018 | 12 | |
| 4 | 2017 | 15 | |
| 5 | 2016 | 51 | |
| 6 | 2015 | 8 | |
| 7 | 2014 | 115 | |
| 8 | 2012 | 15 | |
| 9 | 2012 | 14 | |
| 10 | 2012 | 28 | |
| 11 | 2011 | 30 | |
| 12 | 2011 | 23 | |
| 13 | 2010 | 33 | |
| 14 | 2009 | 9 | |
| 15 | 2007 | 77 | |
| 16 | 2006 | 3 | |
| 17 | Structure of the extracellular region of HER2 alone and in complex with the Herceptin Fabbreakdown → | 2003 | 1206 |
| 18 | 2000 | 49 | |
| 19 | 1999 | 48 | |
| 20 | 1996 | 480 |
About Kasra X. Ramyar
Kasra X. Ramyar is a scholar working on Infectious Diseases, Immunology and Endocrinology, having authored 26 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Biochemical and Structural Characterization (7 papers), Complement system in diseases (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (874 citations), Oncology (902 citations) and Virology (154 citations). Kasra X. Ramyar has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Daniel J. Leahy, Dan W. Denney, Sandra B. Gabelli, Ann Marie Stanley, Hyun‐Soo Cho, Andreas Merdes, Don W. Cleveland, Brian V. Geisbrecht, Kara G. Lassen and Yan Zhou. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.