John J. LaManca
- Cardiology and Cardiovascular Medicine top 2%
- Hematology top 1%
- Psychiatry and Mental health top 2%
- Surgery top 5%
- Complementary and alternative medicine top 1%
- Co-authors
- Donna ManciniStuart D. KatzAlhakam HudaihedBenjamin H. NatelsonDavid HensonChim C. LangKatarzyna HryniewiczStephen B. Levine
- Topics
- Fibromyalgia and Chronic Fatigue Syndrome Research (18 papers)Cardiovascular and exercise physiology (9 papers)Heart Failure Treatment and Management (8 papers)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
John J. LaManca
46 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 111
- Cardiology and Cardiovascular Medicine 1.1k
- Hematology 653
- Psychiatry and Mental health 574
- Surgery 556
- Complementary and alternative medicine 372
Countries citing papers authored by John J. LaManca
This map shows the geographic impact of John J. LaManca'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 John J. LaManca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. LaManca more than expected).
Fields of papers citing papers by John J. LaManca
This network shows the impact of papers produced by John J. LaManca. 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 John J. LaManca. The network helps show where John J. LaManca may publish in the future.
Co-authorship network of co-authors of John J. LaManca
This figure shows the co-authorship network connecting the top 25 collaborators of John J. LaManca. A scholar is included among the top collaborators of John J. LaManca 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 John J. LaManca. John J. LaManca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 34 | |
| 3 | 19 | |
| 4 | 37 | |
| 5 | 45 | |
| 6 | 45 | |
| 7 | 153 | |
| 8 | 23 | |
| 9 | 33 | |
| 10 | 10 | |
| 11 | 375 | |
| 12 | 14 | |
| 13 | 61 | |
| 14 | 29 | |
| 15 | 43 | |
| 16 | 41 | |
| 17 | 60 | |
| 18 | 49 | |
| 19 | 106 | |
| 20 | 17 |
About John J. LaManca
John J. LaManca is a scholar working on Psychiatry and Mental health, Complementary and alternative medicine and Orthopedics and Sports Medicine, having authored 48 papers that have together received 2.8k indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (18 papers), Cardiovascular and exercise physiology (9 papers) and Heart Failure Treatment and Management (8 papers). The work is most often cited by research in Transplantation (204 citations), Hematology (653 citations) and Cardiology and Cardiovascular Medicine (1.1k citations). John J. LaManca has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Donna Mancini, Stuart D. Katz, Alhakam Hudaihed, Benjamin H. Natelson, David Henson, Chim C. Lang, Katarzyna Hryniewicz, Stephen B. Levine, Emily M. Haymes and Arnold Peckerman. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The FASEB Journal.
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.