Daniel W. Green

7.6k total citations · 1 hit paper
225 papers, 4.9k citations indexed

About

Daniel W. Green is a scholar working on Surgery, Orthopedics and Sports Medicine and Biomedical Engineering. According to data from OpenAlex, Daniel W. Green has authored 225 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Surgery, 105 papers in Orthopedics and Sports Medicine and 70 papers in Biomedical Engineering. Recurrent topics in Daniel W. Green's work include Knee injuries and reconstruction techniques (92 papers), Sports injuries and prevention (88 papers) and Lower Extremity Biomechanics and Pathologies (70 papers). Daniel W. Green is often cited by papers focused on Knee injuries and reconstruction techniques (92 papers), Sports injuries and prevention (88 papers) and Lower Extremity Biomechanics and Pathologies (70 papers). Daniel W. Green collaborates with scholars based in United States, Chile and France. Daniel W. Green's co-authors include Roger F. Widmann, Peter D. Fabricant, Frank A. Cordasco, Robert G. Marx, David M. Scher, Emily R. Dodwell, Bryan T. Kelly, Stephen Lyman, Lauren E. LaMont and Hannah N. Ladenhauf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and Spine.

In The Last Decade

Daniel W. Green

204 papers receiving 4.7k citations

Hit Papers

20 Years of Pediatric Anterior Cruciate Ligament Reconstr... 2014 2026 2018 2022 2014 100 200 300

Peers

Daniel W. Green
Comparison fields: 5 of 111
  • Surgery 3.7k
  • Orthopedics and Sports Medicine 2.4k
  • Biomedical Engineering 1.3k
  • Epidemiology 629
  • Rehabilitation 434
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Citations per field, relative to Daniel W. Green
Daniel W. Green · 1×
Citations per year, relative to Daniel W. Green
Daniel W. Green · 1×

Countries citing papers authored by Daniel W. Green

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Green. 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 Daniel W. Green. The network helps show where Daniel W. Green may publish in the future.

Co-authorship network of co-authors of Daniel W. Green

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Green. A scholar is included among the top collaborators of Daniel W. Green 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 Daniel W. Green. Daniel W. Green 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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 1
6 0
7 1
8 8
9 0
10 0
11 7
12 2
13 0
14 6
15 2
16 1
17 26
18 1
19 26
20 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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