Kendra L. Congdon
- Genetics top 2%
- Glioma Diagnosis and Treatment 4
- Immunology top 5%
- Immunotherapy and Immune Responses 14
- T-cell and B-cell Immunology 6
- Hematology top 5%
- Oncology top 5%
- CAR-T cell therapy research 9
- Cancer Immunotherapy and Biomarkers 5
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 4
- Wnt/β-catenin signaling in development and cancer 3
- Epigenetics and DNA Methylation 2
- Co-authors
- Tannishtha ReyaChen ZhaoJohn H. SampsonLeah DiMascioAndrew W. DuncanKeejung YoonKarl WillertJennifer M. Cook
- Cited by
- GeneticsImmunologyHematology
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Kendra L. Congdon
25 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Genetics 417
- Immunology 718
- Hematology 305
- Oncology 614
- Molecular Biology 999
Countries citing papers authored by Kendra L. Congdon
This map shows the geographic impact of Kendra L. Congdon'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 Kendra L. Congdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kendra L. Congdon more than expected).
Fields of papers citing papers by Kendra L. Congdon
This network shows the impact of papers produced by Kendra L. Congdon. 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 Kendra L. Congdon. The network helps show where Kendra L. Congdon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kendra L. Congdon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 29 | |
| 2 | 2021 | 11 | |
| 3 | 2021 | 1 | |
| 4 | 2019 | 11 | |
| 5 | 2018 | 10 | |
| 6 | 2018 | 45 | |
| 7 | 2018 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2018 | 1 | |
| 10 | 2016 | 6 | |
| 11 | Tetanus toxoid and CCL3 improve dendritic cell vaccines in mice and glioblastoma patientsbreakdown → | 2015 | 410 |
| 12 | 2014 | 30 | |
| 13 | 2013 | 108 | |
| 14 | 2012 | 91 | |
| 15 | 2010 | 272 | |
| 16 | 2008 | 9 | |
| 17 | 2008 | 43 | |
| 18 | Integration of Notch and Wnt signaling in hematopoietic stem cell maintenancebreakdown → | 2005 | 603 |
| 19 | 2004 | 14 | |
| 20 | 2002 | 15 |
About Kendra L. Congdon
Kendra L. Congdon is a scholar working on Immunology, Oncology and Genetics, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), CAR-T cell therapy research (9 papers), T-cell and B-cell Immunology (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Glioma Diagnosis and Treatment (4 papers), RNA Interference and Gene Delivery (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Genetics (417 citations), Immunology (718 citations) and Hematology (305 citations). Kendra L. Congdon has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Tannishtha Reya, Chen Zhao, John H. Sampson, Leah DiMascio, Andrew W. Duncan, Keejung Yoon, Karl Willert, Jennifer M. Cook, Nicholas Gaiano and Luis Sánchez-Pérez. Their work appears in journals such as Nature, Journal of Clinical Oncology and Blood.
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.