Vanessa Weir

513 citations
11 papers · 324 · h-index 8

Impact in

  • Hepatology top 10%
    • Liver Disease and Transplantation
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Vanessa Weir

10 papers receiving 321 citations

Peers

Vanessa Weir
Comparison fields: 5 of 71
  • Hepatology 68
  • Infectious Diseases 131
  • Endocrine and Autonomic Systems 34
  • Endocrinology, Diabetes and Metabolism 56
  • Cellular and Molecular Neuroscience 55
Replace V M Oh with:
V M Oh Singapore
Rossana Colla Italy
Luigi Carlo Bottaro Italy
Hélène Donnadieu‐Rigole France
Axel Hinzpeter Germany
Emma Page United Kingdom
Bruce Coate United States
Yasaman Emami Iran
Hatice Yorulmaz Türkiye
Vanessa Weir relative to V M Oh Singapore V M Oh's profile →
Citations per field
00.5×10×14×
V M Oh · 1×
Citations per year

Countries citing papers authored by Vanessa Weir

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2020150
2 201955
3 202040
4 202232
5 202111
6 202510
7 20189
8 20247
9 20205
10 20025
11 20240

About Vanessa Weir

Vanessa Weir is a scholar working on Surgery, Cellular and Molecular Neuroscience, Oncology, Epidemiology and Hepatology, having authored 11 papers that have together received 324 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Liver Disease and Transplantation (2 papers), Aging and Gerontology Research (1 paper), Long-Term Effects of COVID-19 (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Hepatology (68 citations), Infectious Diseases (131 citations), Endocrine and Autonomic Systems (34 citations), Endocrinology, Diabetes and Metabolism (56 citations) and Cellular and Molecular Neuroscience (55 citations). Vanessa Weir has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Yafang Zhang, Heath D. Schmidt, Nicole S. Hernandez, K. Rajender Reddy, Jawaid Shaw, Jasmohan S. Bajaj, Florence Wong, Scott W. Biggins, Sara McGeorge and Guadalupe García–Tsao. Their work appears in journals such as Clinics in Liver Disease, npj Digital Medicine, Molecular Psychiatry, Science Advances and Gut.

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