James Twiss

1.4k citations
45 papers · 746 · h-index 17

Impact in

Papers in

James Twiss

44 papers receiving 717 citations

Peers

James Twiss
Comparison fields: 5 of 86
  • Psychiatry and Mental health 149
  • Hepatology 65
  • Pathology and Forensic Medicine 141
  • Dermatology 67
  • Rheumatology 87
Replace Huifang Liang with:
Huifang Liang United States
Renato Nisihara Brazil
Christian Müller Austria
Kelly Hollis United States
Ihsane Hmamouchi Morocco
Jacopo Romagnoli Italy
Shonda A. Foster United States
Andrea Knight United States
Andrea Saini Italy
Monika Reuß‐Borst Germany
James Twiss relative to Huifang Liang United States Huifang Liang's profile →
Citations per field
00.5×1.5×2.1×
Huifang Liang · 1×
Citations per year

Countries citing papers authored by James Twiss

Since Specialization
Citations

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

Fields of papers citing papers by James Twiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201188
2 200867
3 200953
4 202045
5 200741
6 201540
7 200938
8 201234
9 201131
10 201628
11 201327
12 201926
13 201024
14 200824
15 201123
16 201022
17 201018
18 201215
19 201410
20 20149

About James Twiss

James Twiss is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Genetics, Pathology and Forensic Medicine and Rheumatology, having authored 45 papers that have together received 746 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (7 papers), Multiple Sclerosis Research Studies (6 papers), Delphi Technique in Research (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Vascular Anomalies and Treatments (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Spondyloarthritis Studies and Treatments (4 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers). The work is most often cited by research in Psychiatry and Mental health (149 citations), Hepatology (65 citations), Pathology and Forensic Medicine (141 citations), Dermatology (67 citations) and Rheumatology (87 citations). James Twiss has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Stephen P. McKenna, Lynda Doward, David Meads, Steven Jones, Ian Anderson, Jeanette Wilburn, SP McKenna, Karen Kemp, John D. Fisk and Dennis A. Revicki. Their work appears in journals such as Value in Health, Health and Quality of Life Outcomes, Quality of Life Research, Blood and Multiple Sclerosis Journal.

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.

Explore authors with similar magnitude of impact