Kimberly C. Lin

3.4k citations
19 papers · 2.1k indexed · 1 hit paper · h-index 14
Topics
Hippo pathway signaling and YAP/TAZ (9 papers)Chronic Lymphocytic Leukemia Research (8 papers)Acute Myeloid Leukemia Research (6 papers)

In The Last Decade

Kimberly C. Lin

19 papers receiving 2.1k citations

Hit Papers

Alternative Wnt Signaling Activates YAP/TAZ20152026201820222015100200300400500

Peers

Kimberly C. Lin
Comparison fields: 5 of 93
  • Molecular Biology 1.2k
  • Cell Biology 1.0k
  • Hematology 407
  • Genetics 200
  • Oncology 188
Replace Morvarid Mohseni with:
Morvarid Mohseni United States
Karen Keeshan United Kingdom
Ting-Lei Gu United States
Serge Carillo France
Que T. Lambert United States
Takako Ooshio Japan
Raffaella Zamponi Italy
Franck Gesbert France
Yutaka Okuno Japan
Stefanie S. Schalm United States
Kimberly C. Lin relative to Morvarid Mohseni United States Morvarid Mohseni's profile →
Citations per field
00.5×1.5×1.9×
Morvarid Mohseni · 1×
Citations per year

Countries citing papers authored by Kimberly C. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly C. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly C. Lin. 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 Kimberly C. Lin. The network helps show where Kimberly C. Lin may publish in the future.

Co-authorship network of co-authors of Kimberly C. Lin

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 12
2 2
3 69
4 13
5 174
6 120
7 169
8 229
9 156
10 15
11 212
12
Alternative Wnt Signaling Activates YAP/TAZbreakdown →
554
13 44
14 172
15 6
16 101
17 4
18 14
19 3

About Kimberly C. Lin

Kimberly C. Lin is a scholar working on Genetics, Hematology and Cell Biology, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (9 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Acute Myeloid Leukemia Research (6 papers). The work is most often cited by research in Cell Biology (1.0k citations), Hematology (407 citations) and Genetics (200 citations). Kimberly C. Lin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Kun‐Liang Guan, Hyun Woo Park, Steven W. Plouffe, Zhipeng Meng, Toshiro Moroishi, Caroline M. Alexander, Cun-Yu Wang, Jung-Soon Mo, Fa‐Xing Yu and Young Chul Kim. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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