Paul Hekerman

11 papers receiving 1.2k citations

Paul Hekerman's Hit Papers

Initiation and execution of lipotoxic ER stress in pancreatic β-cells 2008 · 503 citations
5030+6+12Years since publication100200300400500

Peers

Paul Hekerman
Comparison fields: 5 of 74
  • Endocrine and Autonomic Systems 215
  • Cell Biology 440
  • Surgery 462
  • Epidemiology 335
  • Nutrition and Dietetics 133
Replace Katsuya Tanabe with:
Katsuya Tanabe Japan
Mitsuru Hashiramoto Japan
Winston Chu United States
Isabelle Mothe‐Satney France
J. Michael Moates United States
Haibo Sha United States
Jens C. Brüning Germany
Lorna M. Dickson United States
Su Sung Kim South Korea
Brigitte Bois-Joyeux France
Paul Hekerman relative to Katsuya Tanabe Japan Katsuya Tanabe's profile →
Citations per field
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Katsuya Tanabe · 1×
Citations per year

Countries citing papers authored by Paul Hekerman

Since Specialization
Citations

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

Fields of papers citing papers by Paul Hekerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Initiation and execution of lipotoxic ER stress in pancreatic β-cells
Hit paper breakdown →
2008503
2 2006258
3 200498
4 200494
5 200288
6 200865
7 200433
8 200632
9 200828
10 201027
11 200725

About Paul Hekerman

Paul Hekerman is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Surgery, Molecular Biology and Epidemiology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (5 papers), Biochemical Analysis and Sensing Techniques (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Down syndrome and intellectual disability research (2 papers), Pancreatic function and diabetes (2 papers), RNA modifications and cancer (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (215 citations), Cell Biology (440 citations), Surgery (462 citations), Epidemiology (335 citations) and Nutrition and Dietetics (133 citations). Paul Hekerman has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Walter Becker, Décio L. Eizirik, Miriam Cnop, Alessandra K. Cardozo, Fernanda Ortis, Laurence Ladrière, Hans‐Georg Joost, André Herchuelz, Joanne Rasschaert and Piero Marchetti. Their work appears in journals such as FEBS Journal, BMC Molecular Biology, Journal of Biological Chemistry, Neuroscience and Journal of Cell Science.

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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