Jordan J. Baechle
- Pharmacology top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Physiology
- Cognitive Neuroscience
- Co-authors
- Daniel A. WinerDavid FurmanNan ChenPriya MakhijaniShawn WinerDavid J. MarcusRita BáldiNolan D. Hartley
- Topics
- Neuroendocrine Tumor Research Advances (6 papers)Pancreatic and Hepatic Oncology Research (6 papers)Lung Cancer Research Studies (4 papers)
- Journals
- Journal of Clinical InvestigationNature CommunicationsJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesCanadaArgentina
In The Last Decade
Jordan J. Baechle
16 papers receiving 491 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Pharmacology 127
- Molecular Biology 101
- Cellular and Molecular Neuroscience 101
- Physiology 89
- Cognitive Neuroscience 71
Countries citing papers authored by Jordan J. Baechle
This map shows the geographic impact of Jordan J. Baechle'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 Jordan J. Baechle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan J. Baechle more than expected).
Fields of papers citing papers by Jordan J. Baechle
This network shows the impact of papers produced by Jordan J. Baechle. 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 Jordan J. Baechle. The network helps show where Jordan J. Baechle may publish in the future.
Co-authorship network of co-authors of Jordan J. Baechle
This figure shows the co-authorship network connecting the top 25 collaborators of Jordan J. Baechle. A scholar is included among the top collaborators of Jordan J. Baechle 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 Jordan J. Baechle. Jordan J. Baechle 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 | 33 | |
| 4 | Chronic inflammation and the hallmarks of agingbreakdown → | 194 |
| 5 | 45 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 0 | |
| 18 | 5 | |
| 19 | 83 | |
| 20 | 102 |
About Jordan J. Baechle
Jordan J. Baechle is a scholar working on Biological Psychiatry, Oncology and Cancer Research, having authored 20 papers that have together received 496 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (6 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Aging (20 citations), Biological Psychiatry (27 citations) and Behavioral Neuroscience (27 citations). Jordan J. Baechle has collaborated with scholars based in United States, Canada and Argentina. Frequent co-authors include Daniel A. Winer, David Furman, Nan Chen, Priya Makhijani, Shawn Winer, David J. Marcus, Rita Báldi, Nolan D. Hartley, Sachin Patel and Naira Baregamian. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and JNCI Journal of the National Cancer Institute.
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.