Jeremiah D. Degenhardt

29.2k total citations
17 papers, 1.4k citations indexed

About

Jeremiah D. Degenhardt is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Jeremiah D. Degenhardt has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Jeremiah D. Degenhardt's work include Genetic diversity and population structure (4 papers), Genetic Associations and Epidemiology (3 papers) and CAR-T cell therapy research (3 papers). Jeremiah D. Degenhardt is often cited by papers focused on Genetic diversity and population structure (4 papers), Genetic Associations and Epidemiology (3 papers) and CAR-T cell therapy research (3 papers). Jeremiah D. Degenhardt collaborates with scholars based in United States, Italy and Slovakia. Jeremiah D. Degenhardt's co-authors include Carlos D. Bustamante, Adam R. Boyko, Amit Indap, Andrew G. Clark, Rasmus Nielsen, Bryan C. Carstens, Jack Sullivan, Kirk E. Lohmueller, Scott Williamson and Ryan D. Hernandez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Jeremiah D. Degenhardt

17 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeremiah D. Degenhardt United States 13 1.0k 438 149 124 113 17 1.4k
António Brehm Portugal 26 1.2k 1.2× 543 1.2× 111 0.7× 174 1.4× 153 1.4× 103 1.9k
Junfeng Pang China 22 523 0.5× 583 1.3× 227 1.5× 104 0.8× 279 2.5× 42 1.5k
Kurt Wollenberg United States 24 416 0.4× 784 1.8× 125 0.8× 184 1.5× 188 1.7× 49 2.0k
Hurng‐Yi Wang Taiwan 27 564 0.6× 1.1k 2.4× 181 1.2× 142 1.1× 170 1.5× 72 2.6k
Zachary A. Szpiech United States 16 1.3k 1.3× 592 1.4× 264 1.8× 104 0.8× 267 2.4× 27 2.0k
Susanne P. Pfeifer United States 20 634 0.6× 428 1.0× 161 1.1× 91 0.7× 127 1.1× 63 1.6k
Victor A. David United States 28 1.3k 1.3× 881 2.0× 748 5.0× 105 0.8× 138 1.2× 72 2.4k
Matthias Renner Germany 18 558 0.6× 690 1.6× 215 1.4× 83 0.7× 164 1.5× 42 1.4k
Chris Moran Australia 24 881 0.9× 615 1.4× 246 1.7× 114 0.9× 220 1.9× 70 1.8k
Christian Pitra Germany 28 1.1k 1.0× 578 1.3× 693 4.7× 62 0.5× 96 0.8× 59 2.1k

Countries citing papers authored by Jeremiah D. Degenhardt

Since Specialization
Citations

This map shows the geographic impact of Jeremiah D. Degenhardt'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 Jeremiah D. Degenhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremiah D. Degenhardt more than expected).

Fields of papers citing papers by Jeremiah D. Degenhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremiah D. Degenhardt. 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 Jeremiah D. Degenhardt. The network helps show where Jeremiah D. Degenhardt may publish in the future.

Co-authorship network of co-authors of Jeremiah D. Degenhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremiah D. Degenhardt. A scholar is included among the top collaborators of Jeremiah D. Degenhardt 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 Jeremiah D. Degenhardt. Jeremiah D. Degenhardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Degenhardt, Jeremiah D., Pui Seto, Jessica Krakow, et al.. (2022). Regression of EGFR positive established solid tumors in mice with the conditionally active T cell engager TAK-186. Journal for ImmunoTherapy of Cancer. 10(6). e004336–e004336. 10 indexed citations
2.
Seto, Pui, Russell Wall, Brian J. Hillier, et al.. (2020). COBRA™: a highly potent conditionally active T cell engager engineered for the treatment of solid tumors. mAbs. 12(1). 1792130–1792130. 41 indexed citations
3.
Degenhardt, Jeremiah D., Maia Vinogradova, Pui Seto, et al.. (2019). Abstract 557: COBRA: A novel conditionally active bispecific antibody that regresses established solid tumors in mice. Cancer Research. 79(13_Supplement). 557–557. 2 indexed citations
4.
O’Sullivan, Chris, Maria Kovalenko, Andrew E. Greenstein, et al.. (2018). MMP-9 inhibition promotes anti-tumor immunity through disruption of biochemical and physical barriers to T-cell trafficking to tumors. PLoS ONE. 13(11). e0207255–e0207255. 71 indexed citations
5.
Mikels‐Vigdal, Amanda, Chris O’Sullivan, Andrew E. Greenstein, et al.. (2017). Abstract 653: Inhibition of MMP9 improves anti-tumor immunity by changing the tumor microenvironment to promote T cell trafficking and activation. Cancer Research. 77(13_Supplement). 653–653. 2 indexed citations
6.
Ghia, Paolo, Viktor Ljungström, Eugen Tausch, et al.. (2016). Whole-Exome Sequencing Revealed No Recurrent Mutations within the PI3K Pathway in Relapsed Chronic Lymphocytic Leukemia Patients Progressing Under Idelalisib Treatment. Blood. 128(22). 2770–2770. 20 indexed citations
7.
Tuch, Brian B., Andrea Loehr, Jeremiah D. Degenhardt, et al.. (2014). Abstract 898: Expression of immunoglobulin and its receptor are major determinants of multiple myeloma patient sensitivity to proteasome inhibitors. Cancer Research. 74(19_Supplement). 898–898. 1 indexed citations
8.
Ma, Xin, Joanna L. Kelley, Kirsten Eilertson, et al.. (2013). Population Genomic Analysis Reveals a Rich Speciation and Demographic History of Orang-utans (Pongo pygmaeus and Pongo abelii). PLoS ONE. 8(10). e77175–e77175. 18 indexed citations
9.
Brisbin, Abra, Katarzyna Bryc, Jake Byrnes, et al.. (2012). PCAdmix: Principal Components-Based Assignment of Ancestry Along Each Chromosome in Individuals with Admixed Ancestry from Two or More Populations. Human Biology. 84(4). 343–364. 114 indexed citations
10.
Brisbin, Abra, Katarzyna Bryc, Jake Byrnes, et al.. (2012). PCAdmix: Principal Components-Based Assignment of Ancestry along Each Chromosome in Individuals with Admixed Ancestry from Two or More Populations. Human Biology. 84(4). 343–364. 19 indexed citations
11.
Auton, Adam, Katarzyna Bryc, Adam R. Boyko, et al.. (2009). Global distribution of genomic diversity underscores rich complex history of continental human populations. Genome Research. 19(5). 795–803. 119 indexed citations
12.
Degenhardt, Jeremiah D., Paola de Candia, Stuart Schwartz, et al.. (2009). Copy Number Variation of CCL3-like Genes Affects Rate of Progression to Simian-AIDS in Rhesus Macaques (Macaca mulatta). PLoS Genetics. 5(1). e1000346–e1000346. 57 indexed citations
13.
Andrés, Aida M., Melissa J. Hubisz, Amit Indap, et al.. (2009). Targets of Balancing Selection in the Human Genome. Molecular Biology and Evolution. 26(12). 2755–2764. 198 indexed citations
14.
Boyko, Adam R., Ryan H. Boyko, Heidi G. Parker, et al.. (2009). Complex population structure in African village dogs and its implications for inferring dog domestication history. Proceedings of the National Academy of Sciences. 106(33). 13903–13908. 122 indexed citations
15.
Boyko, Adam R., Scott Williamson, Amit Indap, et al.. (2008). Assessing the Evolutionary Impact of Amino Acid Mutations in the Human Genome. PLoS Genetics. 4(5). e1000083–e1000083. 459 indexed citations
16.
Carstens, Bryan C., et al.. (2004). Testing Nested Phylogenetic and Phylogeographic Hypotheses in the Plethodon vandykei Species Group. Systematic Biology. 53(5). 781–792. 83 indexed citations
17.

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.

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