Eric M. Kofoed
- Molecular Biology top 5%
- Immunology top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 5%
- Oncology
- Co-authors
- Russell E. VanceJanelle S. AyresJakob von MoltkeJoseph Chavarría‐SmithRon G. RosenfeldVivian HwaBrian M. LittleKatherine L. Pratt
- Topics
- Inflammasome and immune disorders (8 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)Cytokine Signaling Pathways and Interactions (4 papers)
- Partner nations
- United StatesAustraliaArgentina
In The Last Decade
Eric M. Kofoed
25 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.4k
- Immunology 929
- Endocrinology, Diabetes and Metabolism 397
- Genetics 341
- Oncology 198
Countries citing papers authored by Eric M. Kofoed
This map shows the geographic impact of Eric M. Kofoed'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 M. Kofoed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric M. Kofoed more than expected).
Fields of papers citing papers by Eric M. Kofoed
This network shows the impact of papers produced by Eric M. Kofoed. 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 M. Kofoed. The network helps show where Eric M. Kofoed may publish in the future.
Co-authorship network of co-authors of Eric M. Kofoed
This figure shows the co-authorship network connecting the top 25 collaborators of Eric M. Kofoed. A scholar is included among the top collaborators of Eric M. Kofoed 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 M. Kofoed. Eric M. Kofoed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 121 | |
| 4 | 76 | |
| 5 | 156 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 38 | |
| 9 | Innate immune recognition of bacterial ligands by NAIPs determines inflammasome specificitybreakdown → | 719 |
| 10 | 107 | |
| 11 | 11 | |
| 12 | 13 | |
| 13 | 39 | |
| 14 | 29 | |
| 15 | 10 | |
| 16 | 105 | |
| 17 | 45 | |
| 18 | 8 | |
| 19 | 21 | |
| 20 | 390 |
About Eric M. Kofoed
Eric M. Kofoed is a scholar working on Toxicology, Endocrinology, Diabetes and Metabolism and Molecular Medicine, having authored 25 papers that have together received 2.3k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Immunology (929 citations), Endocrinology (189 citations) and Endocrinology, Diabetes and Metabolism (397 citations). Eric M. Kofoed has collaborated with scholars based in United States, Australia and Argentina. Frequent co-authors include Russell E. Vance, Janelle S. Ayres, Jakob von Moltke, Joseph Chavarría‐Smith, Ron G. Rosenfeld, Vivian Hwa, Brian M. Little, Katherine L. Pratt, Katie A. Woods and Caroline Buckway. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.
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.