Matthew Inkman

548 citations
25 papers · 310 · h-index 9

Impact in

Papers in

Matthew Inkman

21 papers receiving 306 citations

Peers

Matthew Inkman
Comparison fields: 5 of 59
  • Computational Mechanics 102
  • Applied Mathematics 37
  • Cancer Research 43
  • Oncology 65
  • Aerospace Engineering 65
Replace C.-Y. Wu with:
C.-Y. Wu Taiwan
Minkuk Kim South Korea
Yuta Okumura Japan
Fufeng Wang China
Bill Quach United States
Yingze Zhao China
Athanasios Chatzopoulos Greece
Shanyuan Zhang China
Chuanhai Zhang China
Jingtian Yu China
Matthew Inkman relative to C.-Y. Wu Taiwan C.-Y. Wu's profile →
Citations per field
00.5×4.7×
C.-Y. Wu · 1×
Citations per year

Countries citing papers authored by Matthew Inkman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Inkman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201372
2 202369
3 201124
4 202322
5 202321
6 202118
7 200917
8 202115
9 202114
10 20238
11 20226
12 20245
13 20204
14 20234
15 20222
16 20212
17 20212
18 20112
19 20231
20 20221

About Matthew Inkman

Matthew Inkman is a scholar working on Molecular Biology, Cancer Research, Computational Mechanics, Epidemiology and Obstetrics and Gynecology, having authored 25 papers that have together received 310 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Cervical Cancer and HPV Research (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Aerodynamics and Acoustics in Jet Flows (4 papers), Endometrial and Cervical Cancer Treatments (4 papers), Cancer Genomics and Diagnostics (2 papers), Wind and Air Flow Studies (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Computational Mechanics (102 citations), Applied Mathematics (37 citations), Cancer Research (43 citations), Oncology (65 citations) and Aerospace Engineering (65 citations). Matthew Inkman has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Tim Colonius, А. В. Федоров, Guillaume A. Brès, Jin Zhang, Julie K. Schwarz, Subhajit Ghosh, Xiaowei Wang, Stephanie Markovina, Ravshan Ataullakhanov and Dennis E. Hallahan. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Clinical Cancer Research, Neuro-Oncology, Journal of Clinical Investigation and Journal of Clinical Oncology.

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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