Melissa Haendel
- Molecular Biology top 2%
- Genetics top 1%
- Artificial Intelligence top 1%
- Cancer Research top 10%
- Information Systems top 2%
- Co-authors
- Chris MungallPeter N. RobinsonSuzanna LewisGeorgios V. GkoutosNicole VasilevskyCarlo TorniaiChristopher G. ChuteNicole Washington
- Topics
- Biomedical Text Mining and Ontologies (76 papers)Semantic Web and Ontologies (36 papers)Genomics and Rare Diseases (32 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Melissa Haendel
153 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Molecular Biology 3.0k
- Genetics 1.3k
- Artificial Intelligence 918
- Cancer Research 286
- Information Systems 276
Countries citing papers authored by Melissa Haendel
This map shows the geographic impact of Melissa Haendel'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 Melissa Haendel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Haendel more than expected).
Fields of papers citing papers by Melissa Haendel
This network shows the impact of papers produced by Melissa Haendel. 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 Melissa Haendel. The network helps show where Melissa Haendel may publish in the future.
Co-authorship network of co-authors of Melissa Haendel
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Haendel. A scholar is included among the top collaborators of Melissa Haendel 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 Melissa Haendel. Melissa Haendel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 25 | |
| 14 | 3 | |
| 15 | 17 | |
| 16 | 3 | |
| 17 | 20 | |
| 18 | 45 | |
| 19 | 8 | |
| 20 | 228 |
About Melissa Haendel
Melissa Haendel is a scholar working on Information Systems and Management, Artificial Intelligence and Health Information Management, having authored 165 papers that have together received 4.9k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (76 papers), Semantic Web and Ontologies (36 papers) and Genomics and Rare Diseases (32 papers). The work is most often cited by research in Health Informatics (68 citations), Genetics (1.3k citations) and Molecular Biology (3.0k citations). Melissa Haendel has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Chris Mungall, Peter N. Robinson, Suzanna Lewis, Georgios V. Gkoutos, Nicole Vasilevsky, Carlo Torniai, Christopher G. Chute, Nicole Washington, Michael Ashburner and Monte Westerfield. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Bioinformatics.
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.