William Marks

53 papers receiving 1.7k citations

Peers

William Marks
Comparison fields: 5 of 114
  • Hepatology 191
  • Critical Care and Intensive Care Medicine 90
  • Oncology 412
  • Surgery 545
  • Cognitive Neuroscience 244
Replace Cédric Baumann with:
Cédric Baumann France
Mengye Guo United States
Glenda G. Callender United States
Hye Jin Kim South Korea
John McGrath United Kingdom
Sascha Müller Germany
Esther Shabtai Israel
Elly S.M. de Lange–de Klerk Netherlands
Tae W. Kim United States
Michael S. Cohen United States
William Marks relative to Cédric Baumann France Cédric Baumann's profile →
Citations per field
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Cédric Baumann · 1×
Citations per year

Countries citing papers authored by William Marks

Since Specialization
Citations

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

Fields of papers citing papers by William Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988239
2 1986237
3 2004122
4 198696
5 200995
6 198782
7 198081
8 199972
9 198072
10 199964
11 198661
12 197958
13 198150
14 198247
15 198342
16 197938
17 198432
18 199231
19 200426
20 198325

About William Marks

William Marks is a scholar working on Surgery, Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Epidemiology and Experimental and Cognitive Psychology, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Memory Processes and Influences (9 papers), Traumatic Brain Injury Research (6 papers), Cognitive Functions and Memory (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), MRI in cancer diagnosis (4 papers), Neural and Behavioral Psychology Studies (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (191 citations), Critical Care and Intensive Care Medicine (90 citations), Oncology (412 citations), Surgery (545 citations) and Cognitive Neuroscience (244 citations). William Marks has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Patrick C. Freeny, John A. Ryan, Roy A. Filly, L. William Traverso, John W. Bolen, P W Callen, PC Freeny, Robert D. Harris, Naftali Raz and Susan D. Briggs. Their work appears in journals such as Radiology, Neuropsychology, Psychology and Aging, Journal of Computer Assisted Tomography and Journal of Experimental Psychology Learning Memory and Cognition.

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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