Wuhbet Abraham

3.3k total citations · 2 hit papers
18 papers, 1.7k citations indexed

About

Wuhbet Abraham is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Wuhbet Abraham has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Wuhbet Abraham's work include Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (9 papers) and CAR-T cell therapy research (5 papers). Wuhbet Abraham is often cited by papers focused on Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (9 papers) and CAR-T cell therapy research (5 papers). Wuhbet Abraham collaborates with scholars based in United States, United Kingdom and Denmark. Wuhbet Abraham's co-authors include Darrell J. Irvine, Yiran Zheng, Mariane B. Melo, Kelly D. Moynihan, Monica P. Crespo, Melissa C. Hanson, Stephanie H. Chen, Gregory L. Szeto, Bonnie Huang and Shoukang Luo and has published in prestigious journals such as Science, Cell and Journal of Clinical Investigation.

In The Last Decade

Wuhbet Abraham

18 papers receiving 1.7k citations

Hit Papers

Enhanced CAR–T cell activity against solid tumors by vacc... 2019 2026 2021 2023 2019 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wuhbet Abraham United States 14 1.1k 705 693 497 201 18 1.7k
Kelly D. Moynihan United States 18 1.5k 1.4× 905 1.3× 693 1.0× 487 1.0× 201 1.0× 36 2.3k
Pauline Verdijk Netherlands 18 1.0k 1.0× 597 0.8× 545 0.8× 301 0.6× 204 1.0× 22 1.9k
Julia Steitz Germany 24 1.1k 1.0× 549 0.8× 537 0.8× 203 0.4× 125 0.6× 51 1.9k
Jason R. Baird United States 23 1.3k 1.2× 492 0.7× 941 1.4× 233 0.5× 90 0.4× 40 2.0k
Heleen Dewitte Belgium 22 785 0.7× 1.2k 1.7× 412 0.6× 808 1.6× 243 1.2× 34 2.5k
Mathias Oelke United States 24 1.4k 1.3× 451 0.6× 947 1.4× 240 0.5× 100 0.5× 63 2.0k
Neil C. Sheppard United States 16 481 0.5× 488 0.7× 441 0.6× 395 0.8× 112 0.6× 32 1.2k
Liquan Gao United Kingdom 21 1.1k 1.0× 574 0.8× 782 1.1× 436 0.9× 88 0.4× 31 1.9k
Sandra Van Lint Belgium 23 1.1k 1.0× 871 1.2× 592 0.9× 188 0.4× 46 0.2× 30 1.6k

Countries citing papers authored by Wuhbet Abraham

Since Specialization
Citations

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

Fields of papers citing papers by Wuhbet Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wuhbet Abraham. 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 Wuhbet Abraham. The network helps show where Wuhbet Abraham may publish in the future.

Co-authorship network of co-authors of Wuhbet Abraham

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

All Works

18 of 18 papers shown
1.
Mohapatra, Somesh, Mariane B. Melo, Jacob Rodriguez, et al.. (2024). Design of Cytotoxic T Cell Epitopes by Machine Learning of Human Degrons. ACS Central Science. 10(4). 793–802. 2 indexed citations
2.
Rodrigues, Kristen A., Christopher A. Cottrell, Jon M. Steichen, et al.. (2023). Optimization of an alum-anchored clinical HIV vaccine candidate. npj Vaccines. 8(1). 117–117. 4 indexed citations
3.
Zhang, Angela Q., Wuhbet Abraham, A Wolff, et al.. (2023). Universal redirection of CAR T cells against solid tumours via membrane-inserted ligands for the CAR. Nature Biomedical Engineering. 7(9). 1113–1128. 47 indexed citations
4.
Ma, Leyuan, Duncan M. Morgan, Laura Maiorino, et al.. (2023). Vaccine-boosted CAR T crosstalk with host immunity to reject tumors with antigen heterogeneity. Cell. 186(15). 3148–3165.e20. 128 indexed citations breakdown →
5.
Kim, B.J., Dong Soo Yun, Na Li, et al.. (2022). Optimization of storage conditions for lipid nanoparticle-formulated self-replicating RNA vaccines. Journal of Controlled Release. 353. 241–253. 86 indexed citations
6.
Rakhra, Kavya, Wuhbet Abraham, Chensu Wang, et al.. (2021). Exploiting albumin as a mucosal vaccine chaperone for robust generation of lung-resident memory T cells. Science Immunology. 6(57). 64 indexed citations
7.
Sriram, Ganapathy, Lauren E. Milling, Yi Wen Kong, et al.. (2021). The injury response to DNA damage in live tumor cells promotes antitumor immunity. Science Signaling. 14(705). eabc4764–eabc4764. 41 indexed citations
8.
Turner, Hannah L., Raiees Andrabi, Christopher A. Cottrell, et al.. (2021). Disassembly of HIV envelope glycoprotein trimer immunogens is driven by antibodies elicited via immunization. Science Advances. 7(31). 24 indexed citations
9.
Ma, Leyuan, Tanmay Dichwalkar, Jason Y.H. Chang, et al.. (2019). Enhanced CAR–T cell activity against solid tumors by vaccine boosting through the chimeric receptor. Science. 365(6449). 162–168. 319 indexed citations breakdown →
10.
Moynihan, Kelly D., Rebecca L. Holden, Naveen K. Mehta, et al.. (2018). Enhancement of Peptide Vaccine Immunogenicity by Increasing Lymphatic Drainage and Boosting Serum Stability. Cancer Immunology Research. 6(9). 1025–1038. 64 indexed citations
11.
Moynihan, Kelly D., Rebecca L. Holden, Naveen K. Mehta, et al.. (2018). Enhancement of Peptide Vaccine Immunogenicity by Increasing Lymphatic Drainage and Boosting Serum Stability. 1 indexed citations
12.
Huang, Bonnie, et al.. (2015). Active targeting of chemotherapy to disseminated tumors using nanoparticle-carrying T cells. Science Translational Medicine. 7(291). 291ra94–291ra94. 260 indexed citations
13.
Hanson, Melissa C., Wuhbet Abraham, Monica P. Crespo, et al.. (2015). Liposomal vaccines incorporating molecular adjuvants and intrastructural T-cell help promote the immunogenicity of HIV membrane-proximal external region peptides. Vaccine. 33(7). 861–868. 78 indexed citations
14.
Hanson, Melissa C., Monica P. Crespo, Wuhbet Abraham, et al.. (2015). Nanoparticulate STING agonists are potent lymph node–targeted vaccine adjuvants. Journal of Clinical Investigation. 125(6). 2532–2546. 318 indexed citations
15.
Moon, James J., Wuhbet Abraham, Heikyung Suh, et al.. (2013). Generation of Effector Memory T CellâBased Mucosal and Systemic Immunity with Pulmonary Nanoparticle Vaccination. Europe PMC (PubMed Central). 154 indexed citations
16.
Zheng, Yiran, et al.. (2013). In vivo targeting of adoptively transferred T-cells with antibody- and cytokine-conjugated liposomes. Journal of Controlled Release. 172(2). 426–435. 127 indexed citations
17.
DeMuth, Peter C., Peter Abbink, Jinyan Liu, et al.. (2013). Vaccine delivery with microneedle skin patches in nonhuman primates. Nature Biotechnology. 31(12). 1082–1085. 5 indexed citations
18.
Moon, James J., Wuhbet Abraham, Heikyung Suh, et al.. (2013). Generation of Effector Memory T Cell–Based Mucosal and Systemic Immunity with Pulmonary Nanoparticle Vaccination. Science Translational Medicine. 5(204). 204ra130–204ra130. 25 indexed citations

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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