Cassandra Nyberg-Hoffman

495 total citations
7 papers, 404 citations indexed

About

Cassandra Nyberg-Hoffman is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Cassandra Nyberg-Hoffman has authored 7 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Cassandra Nyberg-Hoffman's work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (3 papers) and Ovarian cancer diagnosis and treatment (2 papers). Cassandra Nyberg-Hoffman is often cited by papers focused on Virus-based gene therapy research (7 papers), CAR-T cell therapy research (3 papers) and Ovarian cancer diagnosis and treatment (2 papers). Cassandra Nyberg-Hoffman collaborates with scholars based in United States, Germany and Netherlands. Cassandra Nyberg-Hoffman's co-authors include Estuardo Aguilar-Córdova, Wei Li, Paul Shabram, Augusto Rojas-Martı́nez, Annette Hasenburg, Raymond H. Kaufman, Ibrahim Ramzy, Alan L. Kaplan, Dirk Kieback and D G Kieback and has published in prestigious journals such as Nature Medicine, Vaccine and Gynecologic Oncology.

In The Last Decade

Cassandra Nyberg-Hoffman

7 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cassandra Nyberg-Hoffman United States 7 275 245 130 61 52 7 404
Sandra Silva-Arrieta United States 7 147 0.5× 223 0.9× 168 1.3× 26 0.4× 95 1.8× 8 459
Melinda Van Roey United States 8 450 1.6× 385 1.6× 180 1.4× 60 1.0× 42 0.8× 9 566
Dongling Gao China 8 232 0.8× 147 0.6× 257 2.0× 33 0.5× 113 2.2× 22 401
Yisel Rivera-Molina United States 8 209 0.8× 194 0.8× 202 1.6× 26 0.4× 93 1.8× 11 395
Dawn B. Kayda United States 9 522 1.9× 447 1.8× 216 1.7× 83 1.4× 32 0.6× 10 651
Zhaohui Peng China 5 215 0.8× 257 1.0× 153 1.2× 19 0.3× 24 0.5× 7 378
Gandham Mahendra United States 7 241 0.9× 266 1.1× 83 0.6× 20 0.3× 59 1.1× 8 357
Lisa P. Seung United States 8 202 0.7× 246 1.0× 205 1.6× 23 0.4× 210 4.0× 10 555
Helga Petznek Austria 10 200 0.7× 251 1.0× 117 0.9× 12 0.2× 38 0.7× 14 398
Min Liang China 8 233 0.8× 218 0.9× 188 1.4× 49 0.8× 56 1.1× 14 398

Countries citing papers authored by Cassandra Nyberg-Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Cassandra Nyberg-Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cassandra Nyberg-Hoffman. 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 Cassandra Nyberg-Hoffman. The network helps show where Cassandra Nyberg-Hoffman may publish in the future.

Co-authorship network of co-authors of Cassandra Nyberg-Hoffman

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

All Works

7 of 7 papers shown
1.
Kahl, Christoph, Jessica Bonnell, Suja Hiriyanna, et al.. (2010). Potent immune responses and in vitro pro-inflammatory cytokine suppression by a novel adenovirus vaccine vector based on rare human serotype 28. Vaccine. 28(35). 5691–5702. 40 indexed citations
2.
Hasenburg, Annette, Dagmar‐C. Fischer, Augusto Rojas-Martı́nez, et al.. (2002). Histologic and immunohistochemical analysis of tissue response to adenovirus-mediated herpes simplex thymidine kinase gene therapy of ovarian cancer. International Journal of Gynecological Cancer. 12(1). 66–73. 14 indexed citations
3.
Hasenburg, Annette, Xiaowen Tong, Dagmar‐Christiane Fischer, et al.. (2001). Adenovirus-Mediated Thymidine Kinase Gene Therapy in Combination with Topotecan for Patients with Recurrent Ovarian Cancer: 2.5-Year Follow-Up. Gynecologic Oncology. 83(3). 549–554. 44 indexed citations
4.
Hasenburg, Annette, Augusto Rojas-Martı́nez, Cassandra Nyberg-Hoffman, et al.. (2000). Thymidine kinase gene therapy with concomitant topotecan chemotherapy for recurrent ovarian cancer. Cancer Gene Therapy. 7(6). 839–844. 53 indexed citations
5.
Nyberg-Hoffman, Cassandra & Estuardo Aguilar-Córdova. (1999). Instability of adenoviral vectors during transport and its implication for clinical studies. Nature Medicine. 5(8). 955–957. 72 indexed citations
6.
Hasenburg, Annette, Xiaowen Tong, Augusto Rojas-Martı́nez, et al.. (1999). Thymidine kinase (TK) gene therapy of solid tumors: valacyclovir facilitates outpatient treatment.. PubMed. 19(3B). 2163–5. 11 indexed citations
7.
Nyberg-Hoffman, Cassandra, et al.. (1997). Sensitivity and reproducibility in adenoviral infectious titer determination. Nature Medicine. 3(7). 808–811. 170 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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