Zinaida Good

4.3k citations
16 papers · 1.5k indexed · 3 hit papers · h-index 9
Topics
CAR-T cell therapy research (8 papers)Single-cell and spatial transcriptomics (5 papers)Cancer Genomics and Diagnostics (3 papers)

In The Last Decade

Zinaida Good

13 papers receiving 1.4k citations

Hit Papers

c-Jun overexpression in CAR T cells induces exhaustion re...2019202620212023201920192024100200300400500

Peers

Zinaida Good
Comparison fields: 5 of 109
  • Molecular Biology 711
  • Oncology 707
  • Immunology 455
  • Genetics 195
  • Biomedical Engineering 188
Replace Luca Albergante with:
Luca Albergante United Kingdom
Wanyu Tao China
Marieke L. Kuijjer Norway
Callen T. Wallace United States
Ben Taylor United Kingdom
Adi Sagiv Israel
Huiyu Li China
Brygida Bisikirska United States
Joseph D. Szustakowski United States
Ricardo O. Ramirez Flores Germany
Zinaida Good relative to Luca Albergante United Kingdom Luca Albergante's profile →
Citations per field
00.5×3.7×
Luca Albergante · 1×
Citations per year

Countries citing papers authored by Zinaida Good

Since Specialization
Citations

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

Fields of papers citing papers by Zinaida Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zinaida Good

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4
Risk of Second Tumors and T-Cell Lymphoma after CAR T-Cell Therapybreakdown →
93
5 3
6 57
7 2
8
Reversal of epigenetic aging and immunosenescent trends in humansbreakdown →
310
9 38
10
c-Jun overexpression in CAR T cells induces exhaustion resistancebreakdown →
514
11 4
12 1
13 85
14 262
15 53
16 36

About Zinaida Good

Zinaida Good is a scholar working on Biophysics, Oncology and Immunology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Single-cell and spatial transcriptomics (5 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Aging (65 citations), Oncology (707 citations) and Biophysics (125 citations). Zinaida Good has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Garry P. Nolan, Nikolay Samusik, Kara L. Davis, Matthew H. Spitzer, Crystal L. Mackall, Robert T. Brooke, Steve Horvath, Michael D. Leipold, Gregory M. Fahy and Holden T. Maecker. Their work appears in journals such as Nature, New England Journal of Medicine and Nature Medicine.

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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