Kevin R. Conard

1.7k citations
7 papers · 1.3k indexed · 1 hit paper · h-index 7
Topics
3D Printing in Biomedical Research (3 papers)Pluripotent Stem Cells Research (2 papers)Metabolomics and Mass Spectrometry Studies (1 paper)
Partner nations
United States

In The Last Decade

Kevin R. Conard

7 papers receiving 1.2k citations

Hit Papers

Derivation of human embryonic stem cells in defined condi...20062026201220192006250500750

Peers

Kevin R. Conard
Comparison fields: 5 of 93
  • Molecular Biology 1.1k
  • Biomedical Engineering 450
  • Surgery 250
  • Physiology 104
  • Genetics 96
Replace Makio Saeki with:
Makio Saeki Japan
Ludi Zhang China
Matthew P. Wagoner United States
Rafael Ramírez‐Camacho Spain
Anne‐Sophie Rolland France
Deivid C. Rodrigues Brazil
Léo Aubert France
Rafaela Sartore Brazil
Lukas Cyganek Germany
Jessica Chadwick United States
Kevin R. Conard relative to Makio Saeki Japan Makio Saeki's profile →
Citations per field
00.5×4.6×
Makio Saeki · 1×
Citations per year

Countries citing papers authored by Kevin R. Conard

Since Specialization
Citations

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

Fields of papers citing papers by Kevin R. Conard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin R. Conard. 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 Kevin R. Conard. The network helps show where Kevin R. Conard may publish in the future.

Co-authorship network of co-authors of Kevin R. Conard

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 115
2 64
3 21
4 75
5 39
6 140
7
Derivation of human embryonic stem cells in defined conditionsbreakdown →
811

About Kevin R. Conard

Kevin R. Conard is a scholar working on Hepatology, Health, Toxicology and Mutagenesis and Biomedical Engineering, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (3 papers), Pluripotent Stem Cells Research (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Biomedical Engineering (450 citations) and Developmental Neuroscience (27 citations). Kevin R. Conard has collaborated with scholars based in United States. Frequent co-authors include Mark E. Levenstein, W. Travis Berggren, James A. Thomson, Christine A. Daigh, Jeffrey M. Jones, Marian S. Piekarczyk, Leann Crandall, Tenneille E. Ludwig, Paul R. West and Jessica Palmer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.

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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