James E. Esplen

11 papers receiving 1.6k citations

James E. Esplen's Hit Papers

Apoptosis induced in normal human hepatocytes by tumor necrosis factor-related apoptosis-inducing ligand 2000 · 705 citations
7050+8+17Years since publication200400600

Peers

James E. Esplen
Comparison fields: 5 of 93
  • Virology 133
  • Neurology 206
  • Hepatology 197
  • Pharmacology 141
  • Immunology 321
Replace Giovanni Maria Garbarino with:
Giovanni Maria Garbarino Italy
Harry E. Gruber United States
Katharina Detjen Germany
Renping Zhao China
Theo A. Berkhout United Kingdom
Xiaodong Yang China
J. Bart Rose United States
Ulrich A. K. Betz Germany
Sha Tian United States
Stephen T. Sawyer United States
James E. Esplen relative to Giovanni Maria Garbarino Italy Giovanni Maria Garbarino's profile →
Citations per field
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Giovanni Maria Garbarino · 1×
Citations per year

Countries citing papers authored by James E. Esplen

Since Specialization
Citations

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

Fields of papers citing papers by James E. Esplen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Esplen. 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 James E. Esplen. The network helps show where James E. Esplen may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Apoptosis induced in normal human hepatocytes by tumor necrosis factor-related apoptosis-inducing ligand
Hit paper breakdown →
2000705
2 1999314
3 2000287
4 1999117
5 200665
6 199953
7 200138
8 200129
9 200623
10
Leptin increases proliferation of human steosarcoma cells through activation of PI(3)-K and MAPK pathways.
200622
11 200911

About James E. Esplen

James E. Esplen is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Surgery, Cellular and Molecular Neuroscience and Oncology, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (3 papers), Nerve injury and regeneration (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), RNA Interference and Gene Delivery (2 papers), Pancreatic function and diabetes (1 paper), HIV Research and Treatment (1 paper), Prenatal Substance Exposure Effects (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Virology (133 citations), Neurology (206 citations), Hepatology (197 citations), Pharmacology (141 citations) and Immunology (321 citations). James E. Esplen has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Kenneth Dorko, Stephen C. Strom, Minji Jo, Dai‐Wu Seol, Tae‐Hyoung Kim, Timothy R. Billiar, George K. Michalopoulos, Donna B. Stolz, Liubomir A. Pisarov and Linda M. Dallasta. Their work appears in journals such as Drug Metabolism and Disposition, Experimental Neurology, Nature Medicine, Journal of Biological Chemistry and American Journal Of Pathology.

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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