G T Layer

33 papers receiving 697 citations

Peers

G T Layer
Comparison fields: 5 of 69
  • Internal Medicine 121
  • Cancer Research 137
  • Surgery 365
  • Dermatology 54
  • Oncology 148
Replace Michael P. Harlander‐Locke with:
Michael P. Harlander‐Locke United States
Spencer W. Galt United States
Jonathan Deitch United States
C.Y. Maximilian Png United States
Robert D. Harwick United States
Kathleen Jentsch‐Ullrich Germany
John C. Haney United States
Ricardo dos Reis Brazil
Alex Powell United States
Robert J. Mulcare United States
G T Layer relative to Michael P. Harlander‐Locke United States Michael P. Harlander‐Locke's profile →
Citations per field
00.5×1.5×2.0×
Michael P. Harlander‐Locke · 1×
Citations per year

Countries citing papers authored by G T Layer

Since Specialization
Citations

This map shows the geographic impact of G T Layer'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 G T Layer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G T Layer more than expected).

Fields of papers citing papers by G T Layer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G T Layer. 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 G T Layer. The network helps show where G T Layer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198897
2 201083
3 199369
4 199857
5 199147
6 201043
7 200739
8 198734
9 201634
10 198634
11 199229
12 200322
13 198721
14 200921
15 200219
16 198418
17 199017
18 200214
19 198713
20
Traumatic transection of the thoracic trachea.
198310

About G T Layer

G T Layer is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Internal Medicine, having authored 35 papers that have together received 761 indexed citations. Recurring topics across this work include Diagnosis and Treatment of Venous Diseases (8 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Cancer Diagnosis and Treatment (4 papers), Breast Cancer Treatment Studies (4 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Protease and Inhibitor Mechanisms (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Internal Medicine (121 citations), Cancer Research (137 citations), Surgery (365 citations), Dermatology (54 citations) and Oncology (148 citations). G T Layer has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include K G Burnand, Michael Stacey, M. Pattison, I. R. Daniels, Robert J. Nicholls, Brian T. Andrews, M.W. Kissin, Haresh Devalia, N L Browse and Peter A. Jackson. Their work appears in journals such as British journal of surgery, The Surgeon, European Journal of Surgical Oncology, Postgraduate Medical Journal and Phlebology The Journal of Venous Disease.

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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