Midori A. Harris

57.0k citations
44 papers · 32.8k indexed · 2 hit papers · h-index 24
Topics
Bioinformatics and Genomic Networks (29 papers)Biomedical Text Mining and Ontologies (25 papers)Fungal and yeast genetics research (10 papers)

In The Last Decade

Midori A. Harris

44 papers receiving 32.2k citations

Hit Papers

Gene Ontology: tool for the unification of biology20002026200820172000200210.0k20.0k30.0k

Peers

Midori A. Harris
Comparison fields: 5 of 208
  • Molecular Biology 23.7k
  • Genetics 4.0k
  • Plant Science 3.6k
  • Cancer Research 3.4k
  • Immunology 2.4k
Replace Selina S. Dwight with:
Selina S. Dwight United States
Martin Ringwald United States
Joel E. Richardson United States
Catherine A. Ball United States
Judith A. Blake United States
David P. Hill United States
Laurie Issel‐Tarver United States
Janan T. Eppig United States
J. Michael Cherry United States
Kara Dolinski United States
Midori A. Harris relative to Selina S. Dwight United States Selina S. Dwight's profile →
Citations per field
00.5×1.5×
Selina S. Dwight · 1×
Citations per year

Countries citing papers authored by Midori A. Harris

Since Specialization
Citations

This map shows the geographic impact of Midori A. Harris'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 Midori A. Harris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Midori A. Harris more than expected).

Fields of papers citing papers by Midori A. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Midori A. Harris. 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 Midori A. Harris. The network helps show where Midori A. Harris may publish in the future.

Co-authorship network of co-authors of Midori A. Harris

This figure shows the co-authorship network connecting the top 25 collaborators of Midori A. Harris. A scholar is included among the top collaborators of Midori A. Harris 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 Midori A. Harris. Midori A. Harris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 6
3 20
4 63
5 13
6 61
7 67
8 40
9 46
10 32
11 231
12 89
13 17
14 8
15 7
16 4
17
Saccharomyces genome databasebreakdown →
531
18
Gene Ontology: tool for the unification of biologybreakdown →
30198
19 48
20 42

About Midori A. Harris

Midori A. Harris is a scholar working on Aging, Molecular Biology and Artificial Intelligence, having authored 44 papers that have together received 32.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (29 papers), Biomedical Text Mining and Ontologies (25 papers) and Fungal and yeast genetics research (10 papers). The work is most often cited by research in Molecular Biology (23.7k citations), Aging (405 citations) and Cancer Research (3.4k citations). Midori A. Harris has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include J. Michael Cherry, Judith A. Blake, Selina S. Dwight, Kara Dolinski, Catherine A. Ball, David Botstein, Laurie Issel‐Tarver, Gavin Sherlock, David P. Hill and Michael Ashburner. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

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.

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