Rebecca Mancusi

2.2k total citations · 1 hit paper
6 papers, 288 citations indexed

About

Rebecca Mancusi is a scholar working on Molecular Biology, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Rebecca Mancusi has authored 6 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Psychiatry and Mental health and 1 paper in Genetics. Recurrent topics in Rebecca Mancusi's work include Cancer, Stress, Anesthesia, and Immune Response (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Extracellular vesicles in disease (1 paper). Rebecca Mancusi is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Extracellular vesicles in disease (1 paper). Rebecca Mancusi collaborates with scholars based in United States and Japan. Rebecca Mancusi's co-authors include Michelle Monje, Edward E. Graves, Jason Ross, Debadrita Bhattacharya, Maximilian Diehn, Yoko Nishiga, Alexandros P. Drainas, Nobuyuki Takahashi, Amira Barkal and Anish Thomas and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Bioconjugate Chemistry.

In The Last Decade

Rebecca Mancusi

5 papers receiving 286 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The neuroscience of cancer

2023 164 citations Rebecca Mancusi, Michelle Monje Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rebecca Mancusi United States	4	85	82	74	63	49	6	288
Olivia Cobb United States	9	57 0.7×	106 1.3×	93 1.3×	37 0.6×	131 2.7×	14	363
Honggang Ying China	8	132 1.6×	121 1.5×	96 1.3×	27 0.4×	38 0.8×	8	298
Ashley Aaroe United States	6	80 0.9×	84 1.0×	63 0.9×	15 0.2×	96 2.0×	17	321
Alinne C. Costa Brazil	8	35 0.4×	115 1.4×	35 0.5×	52 0.8×	42 0.9×	12	282
Eduardo Faveret Brazil	5	40 0.5×	107 1.3×	38 0.5×	126 2.0×	100 2.0×	6	383
Seamus P. Caragher United States	9	89 1.0×	172 2.1×	52 0.7×	33 0.5×	189 3.9×	13	376
Christopher T. Lucido United States	5	75 0.9×	155 1.9×	38 0.5×	153 2.4×	18 0.4×	7	343
Emmet Huang-Hobbs United States	6	44 0.5×	132 1.6×	33 0.4×	42 0.7×	138 2.8×	7	297
Haiping He China	12	70 0.8×	96 1.2×	42 0.6×	12 0.2×	135 2.8×	28	345
Jack Shireman United States	12	89 1.0×	197 2.4×	93 1.3×	25 0.4×	178 3.6×	24	403

Countries citing papers authored by Rebecca Mancusi

Since Specialization

Citations

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

Fields of papers citing papers by Rebecca Mancusi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Mancusi

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

All Works

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6 of 6 papers shown

1.

Mancusi, Rebecca & Michelle Monje. (2023). The neuroscience of cancer. Nature. 618(7965). 467–479. 164 indexed citations breakdown →

2.

Han, Si‐ping, Lisa Scherer, Ane Salvador, et al.. (2022). Programmable siRNA pro-drugs that activate RNAi activity in response to specific cellular RNA biomarkers. Molecular Therapy — Nucleic Acids. 27. 797–809. 8 indexed citations

3.

Nishiga, Yoko, Alexandros P. Drainas, Debadrita Bhattacharya, et al.. (2022). Radiotherapy in combination with CD47 blockade elicits a macrophage-mediated abscopal effect. Nature Cancer. 3(11). 1351–1366. 106 indexed citations

4.

Dranchak, Patricia, Rebecca Mancusi, Ganesha Rai, et al.. (2022). A cell-based bioluminescence reporter assay of human Sonic Hedgehog protein autoprocessing to identify inhibitors and activators. Journal of Biological Chemistry. 298(12). 102705–102705. 1 indexed citations

5.

Taylor, Kathryn, Tara Barron, Griffin G. Hartmann, et al.. (2022). CNSC-17. GLIOMA SYNAPSES RECRUIT MECHANISMS OF ADAPTIVE PLASTICITY. Neuro-Oncology. 24(Supplement_7). vii25–vii25.

6.

Zhang, Xiaoyu, Zihan Xu, Rebecca Mancusi, et al.. (2019). Protein–Nucleic Acid Conjugation with Sterol Linkers Using Hedgehog Autoprocessing. Bioconjugate Chemistry. 30(11). 2799–2804. 9 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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