D. Phil

22 papers receiving 519 citations

Peers

D. Phil
Comparison fields: 5 of 115
  • Microbiology 35
  • Microbiology 4
  • Epidemiology 142
  • Biological Psychiatry 10
  • Cancer Research 55
Replace Maciej Łazarczyk with:
Maciej Łazarczyk Poland
Michael R. Condon United States
Gang Yue United States
N. Kariv Israel
Steve Nelson United States
Natasja de Bont Netherlands
Thomas Lavaux France
Yongli Yao China
M. Alexandra Monroy United States
Tomomi Yoshitomi Japan
D. Phil relative to Maciej Łazarczyk Poland Maciej Łazarczyk's profile →
Citations per field
00.5×1.7×
Maciej Łazarczyk · 1×
Citations per year

Countries citing papers authored by D. Phil

Since Specialization
Citations

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

Fields of papers citing papers by D. Phil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997115
2 200488
3 198865
4 198250
5 199129
6 199425
7 199223
8 198323
9 199621
10 199420
11 199719
12 196416
13 199213
14 198912
15
Temporomandibular Joint Arthroplasty Using Metal-on-Metal and Acrylic-on-Metal Configurations : Wear In Laboratory Tests and In Retrievals.
199910
16 20066
17 19676
18 19656
19 19923
20 19573

About D. Phil

D. Phil is a scholar working on Surgery, Epidemiology, Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research, having authored 22 papers that have together received 555 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Radiation Therapy and Dosimetry (2 papers), Orthopaedic implants and arthroplasty (2 papers), Probiotics and Fermented Foods (1 paper), Peptidase Inhibition and Analysis (1 paper), Alzheimer's disease research and treatments (1 paper), Genetic factors in colorectal cancer (1 paper) and Actinomycetales infections and treatment (1 paper). The work is most often cited by research in Microbiology (35 citations), Microbiology (4 citations), Epidemiology (142 citations), Biological Psychiatry (10 citations) and Cancer Research (55 citations). D. Phil has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include John C. Morris, Alison Goate, David B. Carr, David S. Rampton, Roger M. Feakins, Eftychia Tsironi, H. Robert Harrison, Garth Powis, Vincent A. Fulginiti and Lynn M. Taussig. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, The Pediatric Infectious Disease Journal, Journal of Endourology, Cancer and Metastasis Reviews and Journal of Pediatric Orthopaedics.

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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