Maria Spassova
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Immunology top 10%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Philip O. LivingstonSamuel J. DanishefskyOuathek OuerfelliGovindaswami RagupathiGovind RagupathiWilliam G. BornmannKenneth O. LloydHoward I. Scher
- Topics
- Glycosylation and Glycoproteins Research (13 papers)Immunotherapy and Immune Responses (7 papers)Carbohydrate Chemistry and Synthesis (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAngewandte Chemie International Edition
- Partner nations
- United StatesBulgariaCzechia
In The Last Decade
Maria Spassova
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.0k
- Organic Chemistry 601
- Immunology 381
- Oncology 368
- Radiology, Nuclear Medicine and Imaging 281
Countries citing papers authored by Maria Spassova
This map shows the geographic impact of Maria Spassova'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 Maria Spassova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Spassova more than expected).
Fields of papers citing papers by Maria Spassova
This network shows the impact of papers produced by Maria Spassova. 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 Maria Spassova. The network helps show where Maria Spassova may publish in the future.
Co-authorship network of co-authors of Maria Spassova
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Spassova. A scholar is included among the top collaborators of Maria Spassova 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 Maria Spassova. Maria Spassova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 297 | |
| 2 | 113 | |
| 3 | 117 | |
| 4 | 64 | |
| 5 | 33 | |
| 6 | 46 | |
| 7 | 45 | |
| 8 | 40 | |
| 9 | 4 | |
| 10 | 76 | |
| 11 | 209 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 2 |
About Maria Spassova
Maria Spassova is a scholar working on Organic Chemistry, Immunology and Molecular Biology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Immunotherapy and Immune Responses (7 papers) and Carbohydrate Chemistry and Synthesis (7 papers). The work is most often cited by research in Organic Chemistry (601 citations), Immunology (381 citations) and Molecular Biology (1.0k citations). Maria Spassova has collaborated with scholars based in United States, Bulgaria and Czechia. Frequent co-authors include Philip O. Livingston, Samuel J. Danishefsky, Ouathek Ouerfelli, Govindaswami Ragupathi, Govind Ragupathi, William G. Bornmann, Kenneth O. Lloyd, Howard I. Scher, Susan F. Slovin and Evgeny Golovinsky. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.