Khushi L. Matta
- Molecular Biology top 1%
- Organic Chemistry top 0.5%
- Immunology top 2%
- Biotechnology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Joseph J. BarlowRakesh K. JainSaeed A. AbbasE. V. ChandrasekaranRobert D. LockeConrad F. PiskorzInka BrockhausenJie Xia
- Topics
- Glycosylation and Glycoproteins Research (208 papers)Carbohydrate Chemistry and Synthesis (199 papers)Enzyme Production and Characterization (51 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Khushi L. Matta
250 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 4.5k
- Organic Chemistry 3.0k
- Immunology 1.3k
- Biotechnology 690
- Radiology, Nuclear Medicine and Imaging 515
Countries citing papers authored by Khushi L. Matta
This map shows the geographic impact of Khushi L. Matta'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 Khushi L. Matta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khushi L. Matta more than expected).
Fields of papers citing papers by Khushi L. Matta
This network shows the impact of papers produced by Khushi L. Matta. 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 Khushi L. Matta. The network helps show where Khushi L. Matta may publish in the future.
Co-authorship network of co-authors of Khushi L. Matta
This figure shows the co-authorship network connecting the top 25 collaborators of Khushi L. Matta. A scholar is included among the top collaborators of Khushi L. Matta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Khushi L. Matta. Khushi L. Matta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | A High-level Over-Expression of N-and O-Glycan Glycosyltransferases in Pancreatic Tumors and Diabetic Neutrophils: An Unique Pathological Situation in Pancreatic Cancer and Diabetic Retinopathy | 0 |
| 3 | 6 | |
| 4 | 45 | |
| 5 | 31 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 33 | |
| 9 | 23 | |
| 10 | 17 | |
| 11 | 14 | |
| 12 | 23 | |
| 13 | 7 | |
| 14 | 35 | |
| 15 | 18 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 30 | |
| 20 | 1 |
About Khushi L. Matta
Khushi L. Matta is a scholar working on Organic Chemistry, Biotechnology and Molecular Biology, having authored 252 papers that have together received 5.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (208 papers), Carbohydrate Chemistry and Synthesis (199 papers) and Enzyme Production and Characterization (51 papers). The work is most often cited by research in Organic Chemistry (3.0k citations), Biotechnology (690 citations) and Molecular Biology (4.5k citations). Khushi L. Matta has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Joseph J. Barlow, Rakesh K. Jain, Saeed A. Abbas, E. V. Chandrasekaran, Robert D. Locke, Conrad F. Piskorz, Inka Brockhausen, Jie Xia, Sriram Neelamegham and Harry Schachter. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Blood.
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.