James S. Novak

1.0k citations
21 papers · 678 indexed · h-index 14
Topics
Muscle Physiology and Disorders (20 papers)Tissue Engineering and Regenerative Medicine (6 papers)Neurogenetic and Muscular Disorders Research (4 papers)

In The Last Decade

James S. Novak

21 papers receiving 670 citations

Peers

James S. Novak
Comparison fields: 5 of 63
  • Molecular Biology 599
  • Physiology 154
  • Genetics 92
  • Cardiology and Cardiovascular Medicine 81
  • Surgery 74
Replace Davi A. G. Mázala with:
Davi A. G. Mázala United States
Quan Q. Gao United States
Daisuke Morikawa Japan
T M Nguyen United Kingdom
Akshay Bareja United States
Amalia Stantzou France
Margriet Hulsker Netherlands
Robert W. Arpke United States
Qingnian Goh United States
Marshall W. Hogarth United States
James S. Novak relative to Davi A. G. Mázala United States Davi A. G. Mázala's profile →
Citations per field
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Davi A. G. Mázala · 1×
Citations per year

Countries citing papers authored by James S. Novak

Since Specialization
Citations

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

Fields of papers citing papers by James S. Novak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Novak. 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 James S. Novak. The network helps show where James S. Novak may publish in the future.

Co-authorship network of co-authors of James S. Novak

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Novak. A scholar is included among the top collaborators of James S. Novak 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 James S. Novak. James S. Novak 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 15
2 13
3 5
4 19
5 15
6 7
7 2
8 21
9 97
10 28
11 1
12 8
13 1
14 40
15 33
16 62
17 166
18 62
19 20
20 53

About James S. Novak

James S. Novak is a scholar working on Aging, Genetics and Molecular Biology, having authored 21 papers that have together received 678 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (20 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Neurogenetic and Muscular Disorders Research (4 papers). The work is most often cited by research in Aging (19 citations), Rehabilitation (60 citations) and Molecular Biology (599 citations). James S. Novak has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Terence A. Partridge, Kanneboyina Nagaraju, Marie Nearing, Maria Candida Vila, Jyoti K. Jaiswal, Marshall W. Hogarth, Christopher B. Tully, Davi A. G. Mázala, Heather Gordish‐Dressman and Eric P. Hoffman. Their work appears in journals such as Nature Communications, PLoS ONE and International Journal of Molecular Sciences.

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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