Mark Knafl

514 citations
14 papers · 28 · h-index 3

Impact in

    • Glioma Diagnosis and Treatment
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research

Papers in

    • COVID-19 and healthcare impacts 2
    • Pancreatic and Hepatic Oncology Research 1
    • Colorectal and Anal Carcinomas 2
    • Intraperitoneal and Appendiceal Malignancies 1

Mark Knafl

12 papers receiving 28 citations

Peers

Mark Knafl
Comparison fields: 5 of 21
  • Genetics 4
  • Oncology 9
  • Geriatrics and Gerontology 1
  • Otorhinolaryngology 1
  • Surgery 10
Replace Yoshiyasu Umeda with:
Yoshiyasu Umeda Japan
Jerónimo Martínez Spain
Julie Molimard France
Matilda Appelgren Sweden
Dilip Harindran Vallathol India
Nuno Vaz United States
Damien Eyharts France
Christopher H. Yoo United States
J Kryński Poland
Liangqun Rong China
Mark Knafl relative to Yoshiyasu Umeda Japan Yoshiyasu Umeda's profile →
Citations per field
00.5×
Yoshiyasu Umeda · 1×
Citations per year

Countries citing papers authored by Mark Knafl

Since Specialization
Citations

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

Fields of papers citing papers by Mark Knafl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 20247
2 20245
3 20224
4 20222
5 20232
6 20242
7 20211
8 20251
9 20231
10 20211
11 20221
12 20231
13 20230
14 20250

About Mark Knafl

Mark Knafl is a scholar working on Oncology, Surgery, Hematology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 28 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), COVID-19 and healthcare impacts (2 papers), Multiple Myeloma Research and Treatments (2 papers), Colorectal and Anal Carcinomas (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Intraperitoneal and Appendiceal Malignancies (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Advances in Oncology and Radiotherapy (1 paper). The work is most often cited by research in Genetics (4 citations), Oncology (9 citations), Geriatrics and Gerontology (1 citation), Otorhinolaryngology (1 citation) and Surgery (10 citations). Mark Knafl has collaborated with scholars based in United States, Italy and Denmark. Frequent co-authors include Mohammad A. Zeineddine, Abdelrahman Yousef, Scott E. Woodman, P. Andrew Futreal, Haifeng Zhu, John Paul Shen, Kangyu Lin, Xiaoling Li, Kanwal Raghav and James C. Yao. Their work appears in journals such as Journal of Clinical Oncology, JCO Clinical Cancer Informatics, Clinical Cancer Research, Annals of Oncology and International Journal of Radiation Oncology*Biology*Physics.

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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