Jared Lombardi

431 total citations
13 papers, 335 citations indexed

About

Jared Lombardi is a scholar working on Surgery, Biomaterials and Molecular Biology. According to data from OpenAlex, Jared Lombardi has authored 13 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 5 papers in Biomaterials and 2 papers in Molecular Biology. Recurrent topics in Jared Lombardi's work include Tissue Engineering and Regenerative Medicine (8 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Breast Implant and Reconstruction (2 papers). Jared Lombardi is often cited by papers focused on Tissue Engineering and Regenerative Medicine (8 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Breast Implant and Reconstruction (2 papers). Jared Lombardi collaborates with scholars based in United States, China and Canada. Jared Lombardi's co-authors include Maryellen Sandor, Hui Xu, David J. McQuillan, Jerome Connor, John R. Harper, Ronald P. Silverman, Wendell Q. Sun, Hua Wan, Nathaniel M. Bachrach and Shijie Qi and has published in prestigious journals such as Plastic & Reconstructive Surgery, Journal of Vascular Surgery and Journal of Shoulder and Elbow Surgery.

In The Last Decade

Jared Lombardi

12 papers receiving 323 citations

Peers

Jared Lombardi
Comparison fields: 5 of 42
  • Surgery 299
  • Biomaterials 94
  • Biomedical Engineering 51
  • Pulmonary and Respiratory Medicine 36
  • Epidemiology 33
Replace Gen Wen with:
Gen Wen China
Nasra N. Alam United Kingdom
Rory McGoldrick United States
Yong Chen Por Singapore
Scott Shumway United States
Elena Bondioli Italy
G. H. Willital Germany
Najmuddin J. Gunja United States
Erika Leonardi United States
Sean W. Aiken United States
Gen Wen China View profile →
Citations per field, relative to Jared Lombardi
Jared Lombardi · 1×
Citations per year, relative to Jared Lombardi
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Countries citing papers authored by Jared Lombardi

Since Specialization
Citations

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

Fields of papers citing papers by Jared Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared Lombardi. 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 Jared Lombardi. The network helps show where Jared Lombardi may publish in the future.

Co-authorship network of co-authors of Jared Lombardi

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 1
5 1
6 7
7 42
8 43
9 80
10 138
11 1
12 1
13 19

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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