Geneva Young

5.5k total citations · 1 hit paper
6 papers, 1.7k citations indexed

About

Geneva Young is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Geneva Young has authored 6 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Geneva Young's work include Cancer Genomics and Diagnostics (4 papers), Molecular Biology Techniques and Applications (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Geneva Young is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Molecular Biology Techniques and Applications (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Geneva Young collaborates with scholars based in United States. Geneva Young's co-authors include Ido Amit, Robert A. Ach, Eric S. Lander, Jennifer K. Grenier, Alexander Meissner, David E. Root, Laurakay Bruhn, Aviv Regev, Julie Donaghey and Bryce W. Carey and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Geneva Young

6 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

lincRNAs act in the circuitry controlling pluripotency and differentiation

2011 1.5k citations Mitchell Guttman, Julie Donaghey et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geneva Young United States	3	1.4k	1.4k	100	82	73	6	1.7k
Sarah Geisler United States	7	1.4k 1.0×	1.1k 0.8×	53 0.5×	91 1.1×	40 0.5×	7	1.6k
Johnny T. Kung United States	4	2.1k 1.5×	1.7k 1.3×	163 1.6×	125 1.5×	64 0.9×	5	2.4k
Chenguang Gong United States	10	1.6k 1.1×	1.1k 0.8×	66 0.7×	58 0.7×	26 0.4×	14	1.8k
Jenna E. Haines United States	6	1.1k 0.8×	752 0.6×	93 0.9×	63 0.8×	24 0.3×	6	1.3k
Elisa Pesce Italy	9	893 0.6×	649 0.5×	61 0.6×	70 0.9×	21 0.3×	28	1.1k
Kung‐Yen Chang United States	11	936 0.7×	780 0.6×	43 0.4×	89 1.1×	25 0.3×	12	1.1k
Mouloud Souidi France	12	1.4k 1.0×	722 0.5×	184 1.8×	170 2.1×	38 0.5×	16	1.7k
Chaochun Liu United States	9	1.1k 0.8×	1.0k 0.8×	78 0.8×	56 0.7×	12 0.2×	9	1.3k
Marie‐Line Bortolin‐Cavaillé France	19	2.1k 1.5×	803 0.6×	360 3.6×	71 0.9×	23 0.3×	23	2.4k
Sung‐Yul Lee South Korea	10	916 0.6×	679 0.5×	23 0.2×	57 0.7×	36 0.5×	29	1.1k

Countries citing papers authored by Geneva Young

Since Specialization

Citations

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

Fields of papers citing papers by Geneva Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geneva Young

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Clark, Travis, Mark Kennedy, Jie He, et al.. (2016). Abstract 3965: Rigorous validation of a clinical circulating tumor DNA assay for cancer molecular profiling. Cancer Research. 76(14_Supplement). 3965–3965. 1 indexed citations

2.

Stephens, Phil, Travis Clark, Mark Kennedy, et al.. (2016). Analytic validation of a clinical circulating tumor DNA assay for patients with solid tumors.. Journal of Clinical Oncology. 34(15_suppl). e23049–e23049. 2 indexed citations

3.

Young, Geneva, Kai Wang, Jie He, et al.. (2013). Clinical next‐generation sequencing successfully applied to fine‐needle aspirations of pulmonary and pancreatic neoplasms. Cancer Cytopathology. 121(12). 688–694. 98 indexed citations

4.

Hawryluk, Matthew, Jeffrey S. Ross, Christine E. Sheehan, et al.. (2013). Clinical next generation sequencing (NGS) of fine needle aspiration (FNA) biopsies in non-small cell lung (NSCLC) and pancreatic cancers.. Journal of Clinical Oncology. 31(15_suppl). 11100–11100. 1 indexed citations

5.

Guttman, Mitchell, Julie Donaghey, Bryce W. Carey, et al.. (2011). lincRNAs act in the circuitry controlling pluripotency and differentiation. Nature. 477(7364). 295–300. 1542 indexed citations breakdown →

6.

Blumenstiel, Brendan, Kristian Cibulskis, Sheila Fisher, et al.. (2010). Targeted Exon Sequencing by In‐Solution Hybrid Selection. Current Protocols in Human Genetics. 66(1). 49 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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