Jil C. Tardiff

74 papers receiving 3.2k citations

Hit Papers

Using mini-prep plasmid DNA for sequencing double strande...19882026200020131988100200300400500

Peers

Jil C. Tardiff
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 2.3k
  • Molecular Biology 1.6k
  • Genetics 253
  • Cellular and Molecular Neuroscience 194
  • Epidemiology 145
Replace Mariano J. Levin with:
Mariano J. Levin Argentina
Nava Epstein United States
Elena Kudryashova United States
Adri A.M. Thomas Netherlands
B Safer United States
Naoyuki Kataoka Japan
Sofia Khaitlina Russia
G. Brett Robb United States
Sergey E. Dmitriev Russia
Robert A. Fridell United States
Jil C. Tardiff relative to Mariano J. Levin Argentina Mariano J. Levin's profile →
Citations per field
00.5×2.8×
Mariano J. Levin · 1×
Citations per year

Countries citing papers authored by Jil C. Tardiff

Since Specialization
Citations

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

Fields of papers citing papers by Jil C. Tardiff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jil C. Tardiff. 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 Jil C. Tardiff. The network helps show where Jil C. Tardiff may publish in the future.

Co-authorship network of co-authors of Jil C. Tardiff

This figure shows the co-authorship network connecting the top 25 collaborators of Jil C. Tardiff. A scholar is included among the top collaborators of Jil C. Tardiff 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 Jil C. Tardiff. Jil C. Tardiff 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 2
2 0
3 3
4 5
5 80
6 1
7 1
8 35
9 41
10 1
11 1
12 38
13 2
14 1
15 45
16 26
17 141
18 65
19 107
20 183

About Jil C. Tardiff

Jil C. Tardiff is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 77 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (67 papers), Cardiovascular Effects of Exercise (46 papers) and Viral Infections and Immunology Research (18 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.3k citations), Molecular Biology (1.6k citations) and Cellular and Molecular Neuroscience (194 citations). Jil C. Tardiff has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Leslie A. Leinwand, Robert Kraft, Steven D. Schwartz, Murali Chandra, Jeffrey Robbins, Timothy E. Hewett, Stephen M. Factor, Edward P. Manning, Joanne S. Ingwall and Bradley M. Palmer. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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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