Mark Whipple

1.3k citations
47 papers · 701 · h-index 15

Impact in

Papers in

    • Surgical Simulation and Training 4
    • Head and Neck Surgical Oncology 3
    • Gene expression and cancer classification 3

Mark Whipple

43 papers receiving 664 citations

Peers

Mark Whipple
Comparison fields: 5 of 122
  • Otorhinolaryngology 57
  • Gender Studies 115
  • Health Informatics 7
  • Periodontics 17
  • Family Practice 6
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Mark Whipple

Since Specialization
Citations

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

Fields of papers citing papers by Mark Whipple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200561
2 201955
3 201847
4 200547
5 200846
6 200743
7 201643
8 200636
9 202032
10 200429
11 201823
12 201717
13 200316
14 201015
15
Functional relationships between gene pairs in oral squamous cell carcinoma.
200314
16
A Markov model approach to predicting regional tumor spread in the lymphatic system of the head and neck.
200614
17 201913
18 202210
19
Head and neck lymph node region delineation with 3-D CT image registration.
200210
20 200410

About Mark Whipple

Mark Whipple is a scholar working on Surgery, Molecular Biology, Otorhinolaryngology, Gender Studies and Public Health, Environmental and Occupational Health, having authored 47 papers that have together received 701 indexed citations. Recurring topics across this work include Diversity and Career in Medicine (6 papers), Surgical Simulation and Training (4 papers), Head and Neck Cancer Studies (4 papers), Global Health Workforce Issues (3 papers), Sinusitis and nasal conditions (3 papers), Gene expression and cancer classification (3 papers), Head and Neck Surgical Oncology (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Otorhinolaryngology (57 citations), Gender Studies (115 citations), Health Informatics (7 citations), Periodontics (17 citations) and Family Practice (6 citations). Mark Whipple has collaborated with scholars based in United States, Norway and Switzerland. Frequent co-authors include Randall A. Bly, Jamie R. Litvack, Winston Patrick Kuo, D. Gregory Farwell, Elizabeth Wick, Samson Lee, Eduardo Méndez, Chu Chen, Lucila Ohno‐Machado and S. Nicholas Agoff. Their work appears in journals such as The Laryngoscope, Otolaryngology, American Journal of Otolaryngology, Academic Medicine and JAMA Facial Plastic Surgery.

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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