Eric J. Niesor
- Surgery top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 10%
- Cancer Research top 5%
- Co-authors
- C. BentzenAnne PerezDavid KallendCyrille MaugeaisPascal EscherLiliane MichalikBéatrice DesvergneJennifer Rieusset
- Topics
- Cholesterol and Lipid Metabolism (25 papers)Cancer, Lipids, and Metabolism (25 papers)Lipoproteins and Cardiovascular Health (22 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Eric J. Niesor
64 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Surgery 905
- Molecular Biology 683
- Endocrinology, Diabetes and Metabolism 546
- Oncology 391
- Cancer Research 361
Countries citing papers authored by Eric J. Niesor
This map shows the geographic impact of Eric J. Niesor'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 Eric J. Niesor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J. Niesor more than expected).
Fields of papers citing papers by Eric J. Niesor
This network shows the impact of papers produced by Eric J. Niesor. 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 Eric J. Niesor. The network helps show where Eric J. Niesor may publish in the future.
Co-authorship network of co-authors of Eric J. Niesor
This figure shows the co-authorship network connecting the top 25 collaborators of Eric J. Niesor. A scholar is included among the top collaborators of Eric J. Niesor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric J. Niesor. Eric J. Niesor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 93 | |
| 6 | 5 | |
| 7 | 53 | |
| 8 | 10 | |
| 9 | 40 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 39 | |
| 13 | Abstract 1271: The Effects of Dalcetrapib on Macrophage Reverse Cholesterol Transport in a Rodent Model | 3 |
| 14 | 104 | |
| 15 | Abstract 3618: No Increase in the In Vitro Production of Aldosterone or the Expression of CYP11B2 with the CETP Modulator Dalcetrapib (RO4607381/JTT-705), in Contrast with Torcetrapib | 6 |
| 16 | 17 | |
| 17 | Phase I pharmacokinetic trial and correlative in vitro phase II tumor kinetic study of Apomine (SR-45023A), a novel oral biphosphonate anticancer drug. | 28 |
| 18 | 45 | |
| 19 | 26 | |
| 20 | 4 |
About Eric J. Niesor
Eric J. Niesor is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (25 papers), Cancer, Lipids, and Metabolism (25 papers) and Lipoproteins and Cardiovascular Health (22 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (546 citations), Cancer Research (361 citations) and Surgery (905 citations). Eric J. Niesor has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include C. Bentzen, Anne Perez, David Kallend, Cyrille Maugeais, Pascal Escher, Liliane Michalik, Béatrice Desvergne, Jennifer Rieusset, Walter Wahli and Renée Benghozi. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of the American College of Cardiology.
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.