Mark Williams

1.2k citations
29 papers · 719 · h-index 13

Impact in

Papers in

Mark Williams

25 papers receiving 651 citations

Peers

Mark Williams
Comparison fields: 5 of 100
  • Pathology and Forensic Medicine 257
  • Pulmonary and Respiratory Medicine 400
  • Internal Medicine 31
  • Cardiology and Cardiovascular Medicine 127
  • Genetics 58
Replace Kathleen Coard with:
Kathleen Coard Jamaica
Margaret Wesley United States
Ida Colantonio Italy
Nehal Masood Pakistan
William J. Lowery United States
J.-M. Virion France
Élisabeth Pasquier France
Julia Walter Germany
H. Pöllmann Germany
Michelle Moghadassi United States
Mark Williams relative to Kathleen Coard Jamaica Kathleen Coard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Williams

Since Specialization
Citations

This map shows the geographic impact of Mark 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 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 Williams more than expected).

Fields of papers citing papers by Mark Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006222
2 2005164
3 199579
4 199138
5 199031
6 198725
7 199425
8 195219
9 199017
10 199115
11 199514
12 198812
13 196612
14 195211
15 19526
16 19555
17 19975
18 19544
19 19963
20
C. K. Stead and the New Literary Order
19942

About Mark Williams

Mark Williams is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Economics and Econometrics and Genetics, having authored 29 papers that have together received 719 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (2 papers), Trauma Management and Diagnosis (2 papers), Japanese History and Culture (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), New Zealand Economic and Social Studies (2 papers), Vascular Anomalies and Treatments (2 papers), Soybean genetics and cultivation (1 paper) and Digital and Traditional Archives Management (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (257 citations), Pulmonary and Respiratory Medicine (400 citations), Internal Medicine (31 citations), Cardiology and Cardiovascular Medicine (127 citations) and Genetics (58 citations). Mark Williams has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Joanna Smee, Carol M. Black, Gerry Coghlan, Clive Handler, Devaki Nair, Clare Das, Colette Smith, Christopher P. Denton, J R Farndon and Derek Alderson. Their work appears in journals such as British journal of surgery, The Journal of Commonwealth Literature, Journal of Pharmacology and Experimental Therapeutics, Journal of the American Medical Association and Plant Cell Tissue and Organ Culture (PCTOC).

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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