Jill D. Siegfried

2.2k citations
16 papers · 1.6k indexed · h-index 13
Topics
Cardiomyopathy and Myosin Studies (13 papers)Cardiovascular Effects of Exercise (8 papers)Viral Infections and Immunology Research (7 papers)
Partner nations
United States

In The Last Decade

Jill D. Siegfried

16 papers receiving 1.6k citations

Peers

Jill D. Siegfried
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 1.2k
  • Molecular Biology 741
  • Genetics 213
  • Surgery 156
  • Epidemiology 62
Replace Michael Gramlich with:
Michael Gramlich Germany
Koshiro Monzen Japan
Grazyna Czernuszewicz United States
Ying‐Jia Xu China
Melanie Care Canada
Xing‐Biao Qiu China
Cornelis J. Boogerd Netherlands
G. Michael Silberbach United States
Cathy J. Hatcher United States
Joshua W. Vincentz United States
Jill D. Siegfried relative to Michael Gramlich Germany Michael Gramlich's profile →
Citations per field
00.5×3.7×
Michael Gramlich · 1×
Citations per year

Countries citing papers authored by Jill D. Siegfried

Since Specialization
Citations

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

Fields of papers citing papers by Jill D. Siegfried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill D. Siegfried. 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 Jill D. Siegfried. The network helps show where Jill D. Siegfried may publish in the future.

Co-authorship network of co-authors of Jill D. Siegfried

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 39
3 10
4 12
5 228
6 262
7 48
8 51
9 199
10 143
11 9
12 186
13 147
14 26
15 147
16 82

About Jill D. Siegfried

Jill D. Siegfried is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Molecular Biology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (13 papers), Cardiovascular Effects of Exercise (8 papers) and Viral Infections and Immunology Research (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Molecular Biology (741 citations) and Genetics (213 citations). Jill D. Siegfried has collaborated with scholars based in United States. Frequent co-authors include Ray E. Hershberger, Ana Morales, Duanxiang Li, Nadine Norton, Jorge Gonzalez‐Quintana, Jason Cowan, Evadnie Rampersaud, Eden R. Martin, Mark Hofmeyer and Ran Li. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of the American College of Cardiology.

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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