Eric McLaughlin
Impact in
-
- CAR-T cell therapy research
- PARP inhibition in cancer therapy
- Cancer Treatment and Pharmacology
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- Immunotherapy and Immune Responses
Papers in
- Oncology 15
- PARP inhibition in cancer therapy 3
- Co-authors
- Xiaoli Zhang (3 shared papers)Electra D. Paskett (8 shared papers)Hiroshi Nakashima (1 shared paper)John A. McNulty (1 shared paper)Hirotaka Ito (1 shared paper)Korneel Grauwet (1 shared paper)Marco Mineo (1 shared paper)Soledad Fernández (1 shared paper)
- Journals
- Blood (8 papers)Gynecologic Oncology (4 papers)International Journal of Gynecological Cancer (2 papers)Journal of Cancer Survivorship (2 papers)Blood Advances (2 papers)
- Partner nations
- United StatesSaudi ArabiaUnited Kingdom
In The Last Decade
Eric McLaughlin
58 papers receiving 431 citations
Peers
Comparison fields: 5 of 73
- Oncology 182
- Immunology 69
- Genetics 32
- Genetics 80
- Obstetrics and Gynecology 18
Countries citing papers authored by Eric McLaughlin
This map shows the geographic impact of Eric McLaughlin'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 McLaughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric McLaughlin more than expected).
Fields of papers citing papers by Eric McLaughlin
This network shows the impact of papers produced by Eric McLaughlin. 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 McLaughlin. The network helps show where Eric McLaughlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric McLaughlin, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2019 | 55 | |
| 3 | 2021 | 32 | |
| 4 | 2017 | 27 | |
| 5 | 2022 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2023 | 5 |
About Eric McLaughlin
Eric McLaughlin is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Immunology and Molecular Biology, having authored 64 papers that have together received 433 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), T-cell and Retrovirus Studies (4 papers), PARP inhibition in cancer therapy (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Preterm Birth and Chorioamnionitis (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Opioid Use Disorder Treatment (2 papers). The work is most often cited by research in Oncology (182 citations), Immunology (69 citations), Genetics (32 citations), Genetics (80 citations) and Obstetrics and Gynecology (18 citations). Eric McLaughlin has collaborated with scholars based in United States, Saudi Arabia and United Kingdom. Frequent co-authors include Xiaoli Zhang, Electra D. Paskett, Hiroshi Nakashima, John A. McNulty, Hirotaka Ito, Korneel Grauwet, Marco Mineo, Soledad Fernández, Vivek Bhaskaran and Isabel DeLaura. Their work appears in journals such as Blood, Gynecologic Oncology, International Journal of Gynecological Cancer, Journal of Cancer Survivorship and Blood Advances.
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.