H. Wayne Lambert

49 papers receiving 795 citations

Peers

H. Wayne Lambert
Comparison fields: 5 of 126
  • General Dentistry 19
  • Orthopedics and Sports Medicine 61
  • Developmental Neuroscience 24
  • Cellular and Molecular Neuroscience 112
  • Endocrine and Autonomic Systems 36
Replace Kin‐ya Kubo with:
Kin‐ya Kubo Japan
Mitsuo Iinuma Japan
Giuseppina Rizzo Italy
Kenichi Sasaguri Japan
Mariko Nakata Japan
Antônio Augusto Coppi Maciel Ribeiro Brazil
Jeffrey H. Plochocki United States
James S. Gaynor United States
J. Azérad France
Claudia Dolci Italy
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Citations per year

Countries citing papers authored by H. Wayne Lambert

Since Specialization
Citations

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

Fields of papers citing papers by H. Wayne Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Wayne Lambert. 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 H. Wayne Lambert. The network helps show where H. Wayne Lambert may publish in the future.

Co-authors

The 25 scholars most cited alongside H. Wayne Lambert, 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 H. Wayne Lambert Line = papers co-authored together H. Wayne Lambert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001239
2 201584
3 201268
4 201232
5 199928
6 200127
7 200624
8 201123
9 201322
10 202020
11 202018
12 201515
13 201913
14 201213
15 201313
16 201111
17 201511
18 201810
19 201810
20 201610

About H. Wayne Lambert

H. Wayne Lambert is a scholar working on Surgery, Orthopedics and Sports Medicine, Rheumatology, Neurology and General Dentistry, having authored 54 papers that have together received 817 indexed citations. Recurring topics across this work include Oropharyngeal Anatomy and Pathologies (7 papers), Innovations in Medical Education (7 papers), Foot and Ankle Surgery (6 papers), Orthopedic Surgery and Rehabilitation (6 papers), Anatomy and Medical Technology (5 papers), Peripheral Nerve Disorders (4 papers), Dental Research and COVID-19 (4 papers) and Tendon Structure and Treatment (3 papers). The work is most often cited by research in General Dentistry (19 citations), Orthopedics and Sports Medicine (61 citations), Developmental Neuroscience (24 citations), Cellular and Molecular Neuroscience (112 citations) and Endocrine and Autonomic Systems (36 citations). H. Wayne Lambert has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Jean M. Lauder, Gennady A. Buznikov, Matthew J. Zdilla, Jonathan J. Wisco, Bruce M. Rothschild, Kalyanam Shivkumar, Michael C. Fishbein, OLUJIMI AJIJOLA, Blake T. Daney and Aman Mahajan. Their work appears in journals such as The FASEB Journal, Journal of Craniofacial Surgery, Journal of Dental Education, The Journal of Foot & Ankle Surgery and The Anatomical Record.

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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