Mark M. Williams

827 citations
10 papers · 624 · h-index 6

Impact in

    • Insect-Plant Interactions and Control
    • Insect and Pesticide Research
  • Surgery top 10%
    • Shoulder Injury and Treatment
    • Nerve Injury and Rehabilitation
    • Breast Implant and Reconstruction

Papers in

    • Breast Implant and Reconstruction 2
    • Nerve Injury and Rehabilitation 2
    • Shoulder Injury and Treatment 2
    • Hip and Femur Fractures 1
    • Breast Lesions and Carcinomas 2

Mark M. Williams

9 papers receiving 568 citations

Peers

Mark M. Williams
Comparison fields: 5 of 40
  • Insect Science 172
  • Surgery 352
  • Epidemiology 225
  • Plant Science 159
  • Ecology, Evolution, Behavior and Systematics 61
Replace Dapeng Sun with:
Dapeng Sun China
John Van Duyn United States
Jiří Beneš Czechia
Mehdi Modarres Iran
Dhruv S. Shankar United States
Ramesh Purohit India
Shaoqin Li China
Vincenzo Maione Italy
Davide Di Natale Italy
V.V. Radhakrishnan India
Mark M. Williams relative to Dapeng Sun China Dapeng Sun's profile →
Citations per field
00.5×5×10×15×19.6×
Dapeng Sun · 1×
Citations per year

Countries citing papers authored by Mark M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Mark M. Williams, 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 M. Williams Line = papers co-authored together Mark M. Williams links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1994239
2 2002215
3 200976
4 199550
5 202032
6 19937
7 20102
8
The Hidden Power of Lotus 1-2-3: Using Macros
19852
9 20161
10 19690

About Mark M. Williams

Mark M. Williams is a scholar working on Surgery, Pathology and Forensic Medicine, Epidemiology, Geochemistry and Petrology and Obstetrics and Gynecology, having authored 10 papers that have together received 624 indexed citations. Recurring topics across this work include Shoulder and Clavicle Injuries (2 papers), Breast Implant and Reconstruction (2 papers), Breast Lesions and Carcinomas (2 papers), Nerve Injury and Rehabilitation (2 papers), Shoulder Injury and Treatment (2 papers), Insect Resistance and Genetics (1 paper), Vasculitis and related conditions (1 paper) and Hip and Femur Fractures (1 paper). The work is most often cited by research in Insect Science (172 citations), Surgery (352 citations), Epidemiology (225 citations), Plant Science (159 citations) and Ecology, Evolution, Behavior and Systematics (61 citations). Mark M. Williams has collaborated with scholars based in United States and Mexico. Frequent co-authors include Stephen J. Snyder, Don Buford, Gregg A. Howe, Chuanyou Li, Ying-Tsu Loh, Christine Laronga, Jeffrey D. Thomson, Stephen J. Stricker, C.E. Cox and Mary R. Wilson. Their work appears in journals such as PLANT PHYSIOLOGY, Journal of Pediatric Orthopaedics, Arthroscopy The Journal of Arthroscopic and Related Surgery, Nuclear Science and Engineering and Lara D. Veeken.

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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