Jon Cardinal

2.9k citations
36 papers · 2.6k · 1 hit paper · h-index 22

Impact in

Papers in

Jon Cardinal

36 papers receiving 2.5k citations

Jon Cardinal's Hit Papers

HMGB1: Endogenous Danger Signaling 2008 · 672 citations
6720+6+12Years since publication200400600

Peers

Jon Cardinal
Comparison fields: 5 of 118
  • Clinical Biochemistry 522
  • Hepatology 291
  • Immunology 568
  • Developmental Neuroscience 97
  • Epidemiology 472
Replace John R. Klune with:
John R. Klune United States
Akihiro Matsuura Japan
Emilie Vénéreau Italy
Jeong A. Kim South Korea
Mohammad Naimul Islam United States
Andrea Bábelová Germany
Francesco De Marchis Italy
Toshikazu Gondo Japan
Shigeyuki Kawachi Japan
Jon Cardinal relative to John R. Klune United States John R. Klune's profile →
Citations per field
00.5×5.7×
John R. Klune · 1×
Citations per year

Countries citing papers authored by Jon Cardinal

Since Specialization
Citations

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

Fields of papers citing papers by Jon Cardinal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jon Cardinal, 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 Jon Cardinal Line = papers co-authored together Jon Cardinal 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
HMGB1: Endogenous Danger Signaling
Hit paper breakdown →
2008672
2 2010215
3 2012202
4 2011197
5 2008177
6 2009155
7 2009105
8 2009101
9 201097
10 201080
11 200970
12 200958
13 200953
14 201249
15 201247
16 201245
17 201141
18 201233
19 201232
20 200929

About Jon Cardinal

Jon Cardinal is a scholar working on Surgery, Clinical Biochemistry, Epidemiology, Immunology and Oncology, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (11 papers), Immune Response and Inflammation (6 papers), Autophagy in Disease and Therapy (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Clinical Biochemistry (522 citations), Hepatology (291 citations), Immunology (568 citations), Developmental Neuroscience (97 citations) and Epidemiology (472 citations). Jon Cardinal has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Allan Tsung, Timothy R. Billiar, John R. Klune, Rajeev Dhupar, David A. Geller, Allan Tsung, John Evankovich, Atsunori Nakao, Pinhua Pan and Hai Huang. Their work appears in journals such as Hepatology, Journal of Surgical Research, Journal of the American College of Surgeons, Molecular Medicine and Surgery.

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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