Erik Hedrick
Impact in
-
- Nuclear Receptors and Signaling
- Immunology top 10%
- Macrophage Migration Inhibitory Factor
Papers in
-
- Circular RNAs in diseases 6
- RNA Interference and Gene Delivery 2
-
- Nuclear Receptors and Signaling 12
- Co-authors
- Stephen Safe (20 shared papers)Syng‐Ook Lee (6 shared papers)Un-Ho Jin (5 shared papers)Maen Abdelrahim (3 shared papers)Ravi Doddapaneni (3 shared papers)Yating Cheng (4 shared papers)Mandip Singh (3 shared papers)Keshav Karki (2 shared papers)
- Journals
- Molecular Cancer Therapeutics (3 papers)PLoS ONE (2 papers)Molecular and Cellular Biology (2 papers)Oncotarget (2 papers)Molecular Endocrinology (2 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Erik Hedrick
24 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 379
- Immunology 263
- Cancer Research 160
- Molecular Biology 594
- Toxicology 18
Countries citing papers authored by Erik Hedrick
This map shows the geographic impact of Erik Hedrick'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 Erik Hedrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Hedrick more than expected).
Fields of papers citing papers by Erik Hedrick
This network shows the impact of papers produced by Erik Hedrick. 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 Erik Hedrick. The network helps show where Erik Hedrick may publish in the future.
Co-authors
The 25 scholars most cited alongside Erik Hedrick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 130 | |
| 2 | 2018 | 86 | |
| 3 | 2016 | 83 | |
| 4 | 2014 | 83 | |
| 5 | 2017 | 71 | |
| 6 | 2016 | 59 | |
| 7 | 2016 | 56 | |
| 8 | 2015 | 54 | |
| 9 | 2015 | 52 | |
| 10 | 2015 | 49 | |
| 11 | 2016 | 45 | |
| 12 | 2017 | 41 | |
| 13 | 2018 | 39 | |
| 14 | 2018 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2017 | 25 | |
| 17 | 2016 | 25 | |
| 18 | 2019 | 21 | |
| 19 | Enhanced therapeutic efficacy against an ovarian tumor xenograft of immunotoxins used in conjunction with recombinant alpha-interferon. | 1990 | 19 |
| 20 | 2013 | 16 |
About Erik Hedrick
Erik Hedrick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Oncology and Immunology and Allergy, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (12 papers), Macrophage Migration Inhibitory Factor (8 papers), Circular RNAs in diseases (6 papers), Cell Adhesion Molecules Research (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers), RNA Interference and Gene Delivery (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (379 citations), Immunology (263 citations), Cancer Research (160 citations), Molecular Biology (594 citations) and Toxicology (18 citations). Erik Hedrick has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Stephen Safe, Syng‐Ook Lee, Un-Ho Jin, Maen Abdelrahim, Ravi Doddapaneni, Yating Cheng, Mandip Singh, Keshav Karki, Ravi Kasiappan and James L. Abbruzzese. Their work appears in journals such as Molecular Cancer Therapeutics, PLoS ONE, Molecular and Cellular Biology, Oncotarget and Molecular Endocrinology.
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.