Tyler Field

830 total citations · 1 hit paper
10 papers, 641 citations indexed

About

Tyler Field is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Tyler Field has authored 10 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Tyler Field's work include Muscle Physiology and Disorders (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diet, Metabolism, and Disease (3 papers). Tyler Field is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diet, Metabolism, and Disease (3 papers). Tyler Field collaborates with scholars based in United States, Sweden and United Kingdom. Tyler Field's co-authors include Edna Nyangau, Marc K. Hellerstein, Mahalakshmi Shankaran, George G. Schweitzer, Joseph W. Beals, Gordon I. Smith, Samuel Klein, Adewole L. Okunade, Maria Chondronikola and Claude B. Sirlin and has published in prestigious journals such as Journal of Clinical Investigation, Hepatology and The Journal of Physiology.

In The Last Decade

Tyler Field

9 papers receiving 637 citations

Hit Papers

Insulin resistance drives hepatic de novo lipogenesis in ... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

Tyler Field
Comparison fields: 5 of 70
  • Epidemiology 469
  • Endocrinology, Diabetes and Metabolism 299
  • Physiology 189
  • Molecular Biology 161
  • Surgery 78
Replace Manoela Mota with:
Manoela Mota United States
Angela Mazza Italy
Kun Lyu China
Deborah L. Rasmussen United States
Justin Mathew United States
Yanzhen Cheng China
Marcos Pasarín Spain
H.-Y. Chan United Kingdom
Sulin Zheng China
M. Laville France
Manoela Mota United States View profile →
Citations per field, relative to Tyler Field
Tyler Field · 1×
Citations per year, relative to Tyler Field
Tyler Field · 1×

Countries citing papers authored by Tyler Field

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Field

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 4
3 1
4 19
5 3
6 37
7 11
8
Insulin resistance drives hepatic de novo lipogenesis in nonalcoholic fatty liver disease breakdown →
534
9 11
10 21

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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