Jack Leslie

3.1k citations
36 papers · 1.1k · h-index 18

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
    • Metabolism and Genetic Disorders

Papers in

Jack Leslie

36 papers receiving 1.1k citations

Peers

Jack Leslie
Comparison fields: 5 of 102
  • Hepatology 188
  • Clinical Biochemistry 117
  • Biochemistry 95
  • Cancer Research 162
  • Immunology 156
Replace Yang-Hsiang Lin with:
Yang-Hsiang Lin Taiwan
Zhanjun Guo China
Xiaokun Ma China
Stephan Macher‐Goeppinger Germany
Michele Goyette United States
Kelly M. Quesnelle United States
Jeong Eun Yoo South Korea
Susan P. Carpenter United States
G F Barnard United States
Jack Leslie relative to Yang-Hsiang Lin Taiwan Yang-Hsiang Lin's profile →
Citations per field
00.5×5.9×
Yang-Hsiang Lin · 1×
Citations per year

Countries citing papers authored by Jack Leslie

Since Specialization
Citations

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

Fields of papers citing papers by Jack Leslie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022151
2 2021111
3 2020106
4 202384
5 201973
6 198970
7 201762
8 201654
9 201654
10 201545
11 202141
12 202235
13 202131
14 199030
15 201628
16 198822
17 197722
18 202120
19 199216
20 201616

About Jack Leslie

Jack Leslie is a scholar working on Cancer Research, Molecular Biology, Epidemiology, Clinical Biochemistry and Immunology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Metabolism and Genetic Disorders (5 papers), Cancer, Lipids, and Metabolism (4 papers), Immune cells in cancer (3 papers), NF-κB Signaling Pathways (3 papers), Nanoplatforms for cancer theranostics (3 papers), Liver physiology and pathology (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Hepatology (188 citations), Clinical Biochemistry (117 citations), Biochemistry (95 citations), Cancer Research (162 citations) and Immunology (156 citations). Jack Leslie has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Derek A. Mann, Daniel Geh, Fiona Oakley, Helen L. Reeves, Thomas G. Bird, Neil D. Perkins, Henning Wackerhage, Samuel T. Orange, Mark Ross and Michèle Vacca. Their work appears in journals such as Journal of Hepatology, Hepatology, Scientific Reports, Nature Reviews Gastroenterology & Hepatology and Pediatric Research.

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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