Gia L. Tyson

1.5k citations
12 papers · 1.1k indexed · 1 hit paper · h-index 8
Topics
Hepatitis C virus research (8 papers)Liver Disease Diagnosis and Treatment (8 papers)Hepatitis B Virus Studies (5 papers)
Partner nations
United StatesNepal

In The Last Decade

Gia L. Tyson

12 papers receiving 1.1k citations

Hit Papers

Risk factors for cholangiocarcinoma20112026201620212011200400600

Peers

Gia L. Tyson
Comparison fields: 5 of 69
  • Surgery 769
  • Hepatology 389
  • Pulmonary and Respiratory Medicine 376
  • Oncology 325
  • Epidemiology 291
Replace Hueseyin Bektas with:
Hueseyin Bektas Germany
Y. Maehara Japan
Sean Cleary United States
Ashley Stueck Canada
Émilie Uldry Switzerland
Yasuji Arase Japan
Selina Bannoo United Kingdom
Terumasa Noike Japan
Samy Louafi France
M.L. Ribero Italy
Gia L. Tyson relative to Hueseyin Bektas Germany Hueseyin Bektas's profile →
Citations per field
00.5×6.3×
Hueseyin Bektas · 1×
Citations per year

Countries citing papers authored by Gia L. Tyson

Since Specialization
Citations

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

Fields of papers citing papers by Gia L. Tyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gia L. Tyson. 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 Gia L. Tyson. The network helps show where Gia L. Tyson may publish in the future.

Co-authorship network of co-authors of Gia L. Tyson

This figure shows the co-authorship network connecting the top 25 collaborators of Gia L. Tyson. A scholar is included among the top collaborators of Gia L. Tyson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gia L. Tyson. Gia L. Tyson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 2
3 67
4
Post-transplant Treatment of Severe Recurrent Hepatitis C (HCV) with Daclatasvir and Sofosbuvir Plus or Minus Ribavirin
3
5 80
6 60
7 45
8 71
9 3
10
Risk factors for cholangiocarcinomabreakdown →
682
11 44
12 44

About Gia L. Tyson

Gia L. Tyson is a scholar working on Hepatology, Epidemiology and Surgery, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Liver Disease Diagnosis and Treatment (8 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Hepatology (389 citations), Surgery (769 citations) and Oncology (325 citations). Gia L. Tyson has collaborated with scholars based in United States and Nepal. Frequent co-authors include Hashem B. El‐Serag, Zhigang Duan, Jessica A. Davila, Jennifer R. Kramer, Peter Richardson, Fasiha Kanwal, Linda K. Green, Mamoun Younes, Jawad A. Ilyas and Robert L. Kruse. Their work appears in journals such as Hepatology, American Journal of Transplantation and Clinical 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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