Ted Liefeld

21.2k total citations
9 papers, 194 citations indexed

About

Ted Liefeld is a scholar working on Molecular Biology, Information Systems and Management and Information Systems. According to data from OpenAlex, Ted Liefeld has authored 9 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Information Systems and Management and 2 papers in Information Systems. Recurrent topics in Ted Liefeld's work include Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (4 papers) and Bioinformatics and Genomic Networks (3 papers). Ted Liefeld is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (4 papers) and Bioinformatics and Genomic Networks (3 papers). Ted Liefeld collaborates with scholars based in United States, France and Canada. Ted Liefeld's co-authors include Seán Martin, Tim W. Clark, Jill P. Mesirov, Michael Reich, Moses M. Hohman, Pablo Tamayo, Barbara Hill, Helga Thorvaldsdóttir, Joshua Gould and Peili Zhang and has published in prestigious journals such as Bioinformatics, Drug Discovery Today and Briefings in Bioinformatics.

In The Last Decade

Ted Liefeld

9 papers receiving 182 citations

Peers

Ted Liefeld
Comparison fields: 5 of 40
  • Molecular Biology 145
  • Information Systems and Management 54
  • Artificial Intelligence 37
  • Information Systems 35
  • Computer Networks and Communications 20
Replace Frédéric Achard with:
Frédéric Achard France
Matúš Kalaš Norway
Nataliya Sklyar United Kingdom
Mateusz Kuzak Netherlands
Maria Chatzou Spain
Parul Kudtarkar United States
Hitomi Ohkawa United States
Kimberly Begley United Kingdom
Vincent A. Fusaro United States
Allegra Via United Kingdom
Frédéric Achard France View profile →
Citations per field, relative to Ted Liefeld
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Citations per year, relative to Ted Liefeld
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Countries citing papers authored by Ted Liefeld

Since Specialization
Citations

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

Fields of papers citing papers by Ted Liefeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ted Liefeld. 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 Ted Liefeld. The network helps show where Ted Liefeld may publish in the future.

Co-authorship network of co-authors of Ted Liefeld

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 2
2 1
3 9
4 20
5 13
6 2
7 20
8 20
9 107

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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