Frances Sheppard

422 citations
8 papers · 282 · h-index 7

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Liver Disease and Transplantation 2
    • Hepatitis C virus research 1
    • Neuroscience and Music Perception 1
    • Hearing Loss and Rehabilitation 1

Frances Sheppard

8 papers receiving 277 citations

Peers

Frances Sheppard
Comparison fields: 5 of 51
  • Hepatology 136
  • Internal Medicine 13
  • Epidemiology 95
  • Critical Care and Intensive Care Medicine 9
  • Endocrinology, Diabetes and Metabolism 25
Replace Katharina Pomej with:
Katharina Pomej Austria
Giovanni Talerico Italy
Aftab Mohsin Pakistan
Ghias Un Nabi Tayyab Pakistan
Paula Alexandrino Portugal
Wuttiporn Manatsathit United States
Wilma Potze Netherlands
Maria Delgado Switzerland
Teresa Binter Austria
К. Tchernev Bulgaria
Frances Sheppard relative to Katharina Pomej Austria Katharina Pomej's profile →
Citations per field
00.5×5.3×
Katharina Pomej · 1×
Citations per year

Countries citing papers authored by Frances Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Frances Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2012133
2 201151
3 201233
4 201222
5 201217
6 201212
7 201210
8 20124

About Frances Sheppard

Frances Sheppard is a scholar working on Hepatology, Cognitive Neuroscience, Oncology, Experimental and Cognitive Psychology and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 282 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Hepatitis C virus research (1 paper), Multisensory perception and integration (1 paper), Neuroscience and Music Perception (1 paper), Hearing Loss and Rehabilitation (1 paper) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Hepatology (136 citations), Internal Medicine (13 citations), Epidemiology (95 citations), Critical Care and Intensive Care Medicine (9 citations) and Endocrinology, Diabetes and Metabolism (25 citations). Frances Sheppard has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Thierry Thévenot, Vincent Di Martino, Delphine Weil, Élisabeth Monnet, Jean‐Paul Cervoni, Olivier Barbot, Marc Puyraveau, Marı́a Buti, Donald M. Jensen and J.M. Sánchez‐Tapias. Their work appears in journals such as Thrombosis Research, Journal of Hepatology, Hepatology, Journal of Psycholinguistic Research and Journal of Gastroenterology and Hepatology.

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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