Tyler Sandow

508 total citations
29 papers, 342 citations indexed

About

Tyler Sandow is a scholar working on Hepatology, Epidemiology and Oncology. According to data from OpenAlex, Tyler Sandow has authored 29 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hepatology, 8 papers in Epidemiology and 6 papers in Oncology. Recurrent topics in Tyler Sandow's work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Liver Disease Diagnosis and Treatment (6 papers) and Extracellular vesicles in disease (4 papers). Tyler Sandow is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Liver Disease Diagnosis and Treatment (6 papers) and Extracellular vesicles in disease (4 papers). Tyler Sandow collaborates with scholars based in United States, Australia and China. Tyler Sandow's co-authors include Juan Gimenez, Mark A. Lusco, Ellen Acheampong, Tiffany Caza, Robert B. Colvin, Haichun Yang, Christopher P. Larsen, Cesar F. Hernandez-Arroyo, Juan Carlos Q. Velez and Liping Xie and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Tyler Sandow

25 papers receiving 340 citations

Peers

Tyler Sandow
Comparison fields: 5 of 57
  • Infectious Diseases 124
  • Nephrology 102
  • Hepatology 84
  • Surgery 76
  • Oncology 68
Replace Supreet Sethi with:
Supreet Sethi United States
Sang Hyun Hwang South Korea
Pierre Vereerstraeten Belgium
M Matsuźaki Japan
Valeria Corradetti Italy
Neerja Agrawal United States
Emin Yener Gültekin Türkiye
Rajib Gupta United States
Jeeban Paul Das United States
Opas Traitanon Thailand
Supreet Sethi United States View profile →
Citations per field, relative to Tyler Sandow
Tyler Sandow · 1×
Citations per year, relative to Tyler Sandow
Tyler Sandow · 1×

Countries citing papers authored by Tyler Sandow

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Sandow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Sandow

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Sandow. A scholar is included among the top collaborators of Tyler Sandow 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 Tyler Sandow. Tyler Sandow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 1
5 1
6 9
7 1
8 2
9 2
10 7
11 2
12 11
13 10
14 6
15 4
16 2
17 192
18
PRE-TREATMENT LYMPHOCYTE STATUS IN HCC PATIENTS ASSOCIATES WITH DEB-TACE RESPONSE AND CORRELATES WITH LIVER SYNTHETIC DYSFUNCTION AND INCREASED REGULATORY IMMUNE CELLS
2
19 4
20 10

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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