Chaity Chaudhury
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Hematology top 5%
- Blood groups and transfusion
Papers in
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- Glycosylation and Glycoproteins Research 3
- Protein purification and stability 3
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Clark L. Anderson (6 shared papers)John M. Robinson (5 shared papers)William L. Hayton (3 shared papers)Samina Mehnaz (2 shared papers)Derry C. Roopenian (1 shared paper)Dennis K. Pearl (1 shared paper)Charles L. Brooks (1 shared paper)Daniel C. Carter (1 shared paper)
- Journals
- Biochemistry (2 papers)Trends in Immunology (1 paper)Experimental Biology and Medicine (1 paper)Journal of Nutrition (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Chaity Chaudhury
9 papers receiving 1.1k citations
Chaity Chaudhury's Hit Papers
Peers
Comparison fields: 5 of 84
- Radiology, Nuclear Medicine and Imaging 585
- Hematology 138
- Immunology 251
- Molecular Biology 633
- Nephrology 49
Countries citing papers authored by Chaity Chaudhury
This map shows the geographic impact of Chaity Chaudhury'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 Chaity Chaudhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaity Chaudhury more than expected).
Fields of papers citing papers by Chaity Chaudhury
This network shows the impact of papers produced by Chaity Chaudhury. 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 Chaity Chaudhury. The network helps show where Chaity Chaudhury may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaity Chaudhury, 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 | The Major Histocompatibility Complex–related Fc Receptor for IgG (FcRn) Binds Albumin and Prolongs Its Lifespan Hit paper breakdown → | 2003 | 516 |
| 2 | 2006 | 218 | |
| 3 | 2006 | 157 | |
| 4 | 2006 | 108 | |
| 5 | 2000 | 64 | |
| 6 | 2000 | 22 | |
| 7 | 2008 | 21 | |
| 8 | 2006 | 20 | |
| 9 | 2016 | 9 |
About Chaity Chaudhury
Chaity Chaudhury is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hematology, Oncology and Genetics, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers), Protein purification and stability (3 papers), Blood groups and transfusion (2 papers), Peptidase Inhibition and Analysis (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (585 citations), Hematology (138 citations), Immunology (251 citations), Molecular Biology (633 citations) and Nephrology (49 citations). Chaity Chaudhury has collaborated with scholars based in United States. Frequent co-authors include Clark L. Anderson, John M. Robinson, William L. Hayton, Samina Mehnaz, Derry C. Roopenian, Dennis K. Pearl, Charles L. Brooks, Daniel C. Carter, C. L. Bronson and Sudhasri Mohanty. Their work appears in journals such as Biochemistry, Trends in Immunology, Experimental Biology and Medicine, Journal of Nutrition 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.