Ryan Kolb

2.3k total citations
34 papers, 1.5k citations indexed

About

Ryan Kolb is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ryan Kolb has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Oncology and 13 papers in Immunology. Recurrent topics in Ryan Kolb's work include Cancer Cells and Metastasis (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Immune Cell Function and Interaction (5 papers). Ryan Kolb is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Immune Cell Function and Interaction (5 papers). Ryan Kolb collaborates with scholars based in United States, China and South Korea. Ryan Kolb's co-authors include Weizhou Zhang, Fayyaz S. Sutterwala, Ann M. Janowski, Nicholas Borcherding, Guanghui Liu, Ying Yan, Kenneth H. Cowan, Qing Xie, Yinghong Liu and Yuan Fang and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Ryan Kolb

31 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Kolb United States	21	859	520	352	283	190	34	1.5k
Xiaoyun Cheng China	21	572 0.7×	590 1.1×	300 0.9×	198 0.7×	207 1.1×	78	1.6k
Jun Sang Bae South Korea	24	631 0.7×	615 1.2×	280 0.8×	206 0.7×	106 0.6×	65	1.5k
Hae‐Yun Jung South Korea	20	823 1.0×	505 1.0×	268 0.8×	307 1.1×	83 0.4×	31	1.5k
Wen-Jia Chen China	23	996 1.2×	345 0.7×	165 0.5×	523 1.8×	99 0.5×	101	1.6k
Wuzhen Chen China	19	602 0.7×	396 0.8×	372 1.1×	421 1.5×	111 0.6×	37	1.3k
Ewa Brzeziańska‐Lasota Poland	22	664 0.8×	273 0.5×	250 0.7×	307 1.1×	81 0.4×	113	1.5k
Danilo Cucchi Italy	16	848 1.0×	237 0.5×	418 1.2×	312 1.1×	189 1.0×	22	1.5k
Nella Prevete Italy	27	849 1.0×	477 0.9×	903 2.6×	257 0.9×	82 0.4×	60	2.0k
Gavin D. Richardson United Kingdom	21	846 1.0×	494 0.9×	314 0.9×	172 0.6×	122 0.6×	47	1.9k
Annalisa Camporeale Italy	21	617 0.7×	389 0.7×	466 1.3×	183 0.6×	88 0.5×	28	1.4k

Countries citing papers authored by Ryan Kolb

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Kolb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Kolb

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Kolb. A scholar is included among the top collaborators of Ryan Kolb 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 Ryan Kolb. Ryan Kolb 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:

20 of 20 papers shown

De, Umasankar, et al.. (2024). ANGPTL4 Suppresses Clear Cell Renal Cell Carcinoma via Inhibition of Lysosomal Acid Lipase. Cancer Research Communications. 4(8). 2242–2254. 6 indexed citations

Kim, Myung‐Chul, Umasankar De, Nicholas Borcherding, et al.. (2024). Single-cell transcriptomics unveil profiles and interplay of immune subsets in rare autoimmune childhood Sjögren’s disease. Communications Biology. 7(1). 481–481. 4 indexed citations

Kim, Myung‐Chul, Nicholas Borcherding, Woo‐Jin Song, Ryan Kolb, & Weizhou Zhang. (2024). Leveraging single-cell transcriptomic data to uncover immune suppressive cancer cell subsets in triple-negative canine breast cancers. Frontiers in Veterinary Science. 11. 1434617–1434617.

Zeng, Jin, et al.. (2022). Breast Cancer Stem Cells: Signaling Pathways, Cellular Interactions, and Therapeutic Implications. Cancers. 14(13). 3287–3287. 28 indexed citations

Kolb, Ryan, Umasankar De, Sajid Khan, et al.. (2021). Proteolysis-targeting chimera against BCL-XL destroys tumor-infiltrating regulatory T cells. Nature Communications. 12(1). 1281–1281. 42 indexed citations

Kolb, Ryan & Weizhou Zhang. (2020). Obesity and Breast Cancer: A Case of Inflamed Adipose Tissue. Cancers. 12(6). 1686–1686. 80 indexed citations

Borcherding, Nicholas, Ryan Kolb, Jodi A. Gullicksrud, et al.. (2018). Keeping Tumors in Check: A Mechanistic Review of Clinical Response and Resistance to Immune Checkpoint Blockade in Cancer. Journal of Molecular Biology. 430(14). 2014–2029. 40 indexed citations

Borcherding, Nicholas, et al.. (2018). Re-Evaluating E-Cadherin and β-Catenin. American Journal Of Pathology. 188(8). 1910–1920. 23 indexed citations

Kolb, Ryan, Zhen Tan, Nicholas Borcherding, et al.. (2018). Obesity-associated inflammation promotes angiogenesis and breast cancer via angiopoietin-like 4. Oncogene. 38(13). 2351–2363. 97 indexed citations

10.

Kolb, Ryan, Liem Phan, Nicholas Borcherding, et al.. (2016). Obesity-associated NLRC4 inflammasome activation drives breast cancer progression. Nature Communications. 7(1). 13007–13007. 187 indexed citations

11.

Kolb, Ryan, Fayyaz S. Sutterwala, & Weizhou Zhang. (2016). Obesity and cancer: inflammation bridges the two. Current Opinion in Pharmacology. 29. 77–89. 297 indexed citations

12.

Borcherding, Nicholas, Ryan Kolb, Qing Xie, et al.. (2015). Paracrine WNT5A Signaling Inhibits Expansion of Tumor-Initiating Cells. Cancer Research. 75(10). 1972–1982. 46 indexed citations

13.

Borcherding, Nicholas, et al.. (2015). Transcriptome analysis of basal and luminal tumor-initiating cells in ErbB2-driven breast cancer. Genomics Data. 4. 119–122. 4 indexed citations

14.

Yan, Ying, et al.. (2014). A novel function of HER2/Neu in the activation of G2/M checkpoint in response to γ-irradiation. Oncogene. 34(17). 2215–2226. 29 indexed citations

15.

Xie, Qing, Julia Klesney‐Tait, Kathy Keck, et al.. (2014). Characterization of a novel mouse model with genetic deletion of CD177. Protein & Cell. 6(2). 117–126. 37 indexed citations

16.

Kolb, Ryan, Guanghui Liu, Ann M. Janowski, Fayyaz S. Sutterwala, & Weizhou Zhang. (2013). Inflammasomes in cancer: a double-edged sword. Protein & Cell. 8 indexed citations

17.

Janowski, Ann M., Ryan Kolb, Weizhou Zhang, & Fayyaz S. Sutterwala. (2013). Beneficial and Detrimental Roles of NLRs in Carcinogenesis. Frontiers in Immunology. 4. 370–370. 50 indexed citations

18.

Yan, Ying, et al.. (2010). Protein phosphatase 2A has an essential role in the activation of γ-irradiation-induced G2/M checkpoint response. Oncogene. 29(30). 4317–4329. 47 indexed citations

19.

Peng, Hui, et al.. (2007). Differential Expression of CXCL12 and CXCR4 During Human Fetal Neural Progenitor Cell Differentiation. Journal of Neuroimmune Pharmacology. 2(3). 251–258. 59 indexed citations

20.

Altschmied, Joachim, I. Nanda, Ryan Kolb, et al.. (1996). The Xmrk oncogene promoter is derived from a novel amplified locus of unusual organization.. Genome Research. 6(2). 102–113. 21 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.

Explore authors with similar magnitude of impact