Jessica E. Ackerman

629 citations
16 papers · 372 · h-index 11

Impact in

Papers in

Jessica E. Ackerman

16 papers receiving 371 citations

Peers

Jessica E. Ackerman
Comparison fields: 5 of 55
  • Orthopedics and Sports Medicine 268
  • Rehabilitation 50
  • Cell Biology 64
  • Surgery 142
  • Equine 5
Replace Katherine T. Best with:
Katherine T. Best United States
Miduo Mu China
Tyler Harvey United States
Yalda A. Kharaz United Kingdom
Thijs de Wit Netherlands
Bennett W. Calder United States
Dirk S. Gesink United States
Nichole Charlton United States
Rachel M. Cymerman United States
Takemi Goseki Japan
Jessica E. Ackerman relative to Katherine T. Best United States Katherine T. Best's profile →
Citations per field
00.5×2×3.3×
Katherine T. Best · 1×
Citations per year

Countries citing papers authored by Jessica E. Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Jessica E. Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica E. Ackerman. 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 Jessica E. Ackerman. The network helps show where Jessica E. Ackerman may publish in the future.

Co-authors

The 25 scholars most cited alongside Jessica E. Ackerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jessica E. Ackerman Line = papers co-authored together Jessica E. Ackerman links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201751
2 201951
3 201749
4 202141
5 202237
6 201730
7 201627
8 201919
9 201916
10 202316
11 202416
12 20208
13 20235
14 20164
15 20261
16 20241

About Jessica E. Ackerman

Jessica E. Ackerman is a scholar working on Orthopedics and Sports Medicine, Cell Biology, Surgery, Rheumatology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 372 indexed citations. Recurring topics across this work include Tendon Structure and Treatment (14 papers), Orthopedic Surgery and Rehabilitation (4 papers), Cellular Mechanics and Interactions (3 papers), Knee injuries and reconstruction techniques (2 papers), Nerve injury and regeneration (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Sports injuries and prevention (2 papers) and Shoulder Injury and Treatment (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (268 citations), Rehabilitation (50 citations), Cell Biology (64 citations), Surgery (142 citations) and Equine (5 citations). Jessica E. Ackerman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Alayna E. Loiselle, Katherine T. Best, Anne E. C. Nichols, Mark R. Buckley, Jennifer H. Jonason, Michael B. Geary, Emma K. Knapp, Regis J. O’Keefe, Chia‐Lung Wu and Michael S. Richards. Their work appears in journals such as Journal of Orthopaedic Research®, Journal of Visualized Experiments, Scientific Reports, eLife and Molecular Cancer Research.

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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