Gail Sekas

18 papers receiving 425 citations

Peers

Gail Sekas
Comparison fields: 5 of 72
  • Nutrition and Dietetics 149
  • Clinical Biochemistry 44
  • Speech and Hearing 37
  • Hepatology 38
  • Biochemistry 34
Replace Hannah Parsons with:
Hannah Parsons Canada
Darla Shores United States
Stanley S. Bergen United States
Leland G. Hansen United States
Andrea Markowski Germany
Janina Piotrowska‐Jastrzębska Poland
Susanne Leij‐Halfwerk Netherlands
Jessica Seeßle Germany
Dollery Ct United Kingdom
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Gail Sekas relative to Hannah Parsons Canada Hannah Parsons's profile →
Citations per field
00.5×10×12.7×
Hannah Parsons · 1×
Citations per year

Countries citing papers authored by Gail Sekas

Since Specialization
Citations

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

Fields of papers citing papers by Gail Sekas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Gail Sekas, 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 Gail Sekas Line = papers co-authored together Gail Sekas links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1994147
2
Origin of plasma lysophosphatidylcholine: evidence for direct hepatic secretion in the rat.
1985106
3 199226
4 197924
5 199317
6
The evaluation of liver function after partial hepatectomy in the rat: serum changes.
197917
7 198015
8 197614
9 198911
10 199511
11 199411
12
Recurrent upper esophageal webs in association with heterotopic gastric mucosa: case report and literature review.
199411
13 199710
14 19939
15 19888
16 19906
17 19922
18 19962
19 19901

About Gail Sekas

Gail Sekas is a scholar working on Oncology, Clinical Biochemistry, Surgery, Molecular Biology and Epidemiology, having authored 19 papers that have together received 448 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Hematopoietic Stem Cell Transplantation (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), DNA Repair Mechanisms (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Nutrition and Dietetics (149 citations), Clinical Biochemistry (44 citations), Speech and Hearing (37 citations), Hepatology (38 citations) and Biochemistry (34 citations). Gail Sekas has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Madhukar Kaw, Robert T. Cook, Harbhajan S. Paul, Siamak A. Adibi, Whyte G. Owen, Donna Przepiorka, Stephen J. Winters, David Lackner, Thomas S. Talamo and Thomas B. Julian. Their work appears in journals such as Digestive Diseases and Sciences, Experimental Cell Research, Metabolism, Analytical Biochemistry and Academic Medicine.

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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