Laura J. Janke

5.4k total citations · 1 hit paper
68 papers, 2.8k citations indexed

About

Laura J. Janke is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Laura J. Janke has authored 68 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 24 papers in Hematology and 20 papers in Oncology. Recurrent topics in Laura J. Janke's work include Acute Myeloid Leukemia Research (15 papers), Acute Lymphoblastic Leukemia research (15 papers) and Chronic Myeloid Leukemia Treatments (11 papers). Laura J. Janke is often cited by papers focused on Acute Myeloid Leukemia Research (15 papers), Acute Lymphoblastic Leukemia research (15 papers) and Chronic Myeloid Leukemia Treatments (11 papers). Laura J. Janke collaborates with scholars based in United States, United Kingdom and Japan. Laura J. Janke's co-authors include Douglas R. Green, Christopher P. Dillon, Ricardo Weinlich, Thirumala‐Devi Kanneganti, Diego A. Rodríguez, Prajwal Gurung, Andrew Oberst, Peter Vogel, Giovanni Quarato and Katherine Verbist and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Laura J. Janke

64 papers receiving 2.8k citations

Hit Papers

align trajectories sort by overperformance

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.

NLRP12-PANoptosome activates PANoptosis and pathology in response to heme and PAMPs

2023 233 citations Laura J. Janke, Thirumala‐Devi Kanneganti et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura J. Janke United States	25	1.6k	925	583	425	305	68	2.8k
Masaki Inoue Japan	33	1.1k 0.7×	1.1k 1.2×	768 1.3×	463 1.1×	157 0.5×	93	3.2k
Peter Burfeind Germany	29	1.6k 1.0×	498 0.5×	366 0.6×	841 2.0×	218 0.7×	102	3.9k
Nils von Neuhoff Germany	28	1.2k 0.8×	421 0.5×	465 0.8×	1.0k 2.4×	342 1.1×	99	2.9k
John R. MacDougall United States	17	897 0.6×	639 0.7×	609 1.0×	177 0.4×	153 0.5×	36	2.4k
Gerwin Huls Netherlands	30	1.9k 1.2×	749 0.8×	1.1k 1.9×	1.3k 3.0×	215 0.7×	115	3.9k
Ruth W. Craig United States	29	2.3k 1.5×	734 0.8×	965 1.7×	318 0.7×	133 0.4×	44	3.3k
Fabrizio Condorelli Italy	23	1.4k 0.9×	272 0.3×	508 0.9×	277 0.7×	116 0.4×	58	2.6k
K Kita Japan	31	1.8k 1.1×	491 0.5×	464 0.8×	1.2k 2.9×	657 2.2×	155	3.3k
Shaohua Chen China	26	1.0k 0.6×	1.4k 1.5×	1.2k 2.1×	536 1.3×	156 0.5×	184	3.0k
Irma Dianzani Italy	35	3.4k 2.1×	655 0.7×	521 0.9×	390 0.9×	94 0.3×	142	5.0k

Countries citing papers authored by Laura J. Janke

Since Specialization

Citations

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

Fields of papers citing papers by Laura J. Janke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura J. Janke. 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 Laura J. Janke. The network helps show where Laura J. Janke may publish in the future.

Co-authorship network of co-authors of Laura J. Janke

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

All Works

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20 of 20 papers shown

1.

Singh, Shivendra V., Qiong Wu, Hongjian Jin, et al.. (2025). The context-dependent epigenetic and organogenesis programs determine 3D vs. 2D cellular fitness of MYC-driven murine liver cancer cells. eLife. 14.

2.

Singh, Shivendra V., Qiong Wu, Hongjian Jin, et al.. (2025). The context-dependent epigenetic and organogenesis programs determine 3D vs. 2D cellular fitness of MYC-driven murine liver cancer cells. eLife. 14. 1 indexed citations

3.

Rodríguez, Diego A., Bart Tummers, Jeremy J.P. Shaw, et al.. (2024). The interaction between RIPK1 and FADD controls perinatal lethality and inflammation. Cell Reports. 43(6). 114335–114335. 5 indexed citations

4.

Thomas, Melvin E., Michael P. Walsh, Jing Ma, et al.. (2024). Functional characterization of cooperating MGA mutations in RUNX1::RUNX1T1 acute myeloid leukemia. Leukemia. 38(5). 991–1002. 2 indexed citations

5.

Dickerson, Kirsten, Chunxu Qu, Qingsong Gao, et al.. (2022). ZNF384 Fusion Oncoproteins Drive Lineage Aberrancy in Acute Leukemia. Blood Cancer Discovery. 3(3). 240–263. 9 indexed citations

6.

Iacobucci, Ilaria, Reiji Fukano, Chunxu Qu, et al.. (2022). G3BP2-KIT drives leukemia amenable to kinase inhibition in Ph-like ALL. Blood Advances. 6(11). 3255–3259. 2 indexed citations

7.

Inoue, Akira, Laura J. Janke, Brian Gudenas, et al.. (2021). A genetic mouse model with postnatal Nf1 and p53 loss recapitulates the histology and transcriptome of human malignant peripheral nerve sheath tumor. Neuro-Oncology Advances. 3(1). vdab129–vdab129. 5 indexed citations

8.

Hao, Xiaolei, Beisi Xu, Jeremy Chase Crawford, et al.. (2021). Foxp3 enhancers synergize to maximize regulatory T cell suppressive capacity. The Journal of Experimental Medicine. 218(8). 10 indexed citations

9.

Vo, BaoHan T., Jingjing Liu, Beisi Xu, et al.. (2020). An ABC Transporter Drives Medulloblastoma Pathogenesis by Regulating Sonic Hedgehog Signaling. Cancer Research. 80(7). 1524–1537. 7 indexed citations

10.

Jenkins, David, Xiangjun Cai, Lie Li, et al.. (2020). Fenofibrate reduces osteonecrosis without affecting antileukemic efficacy in dexamethasone-treated mice. Haematologica. 106(8). 2095–2101. 5 indexed citations

11.

Karol, Seth E., Laura J. Janke, John C. Panetta, et al.. (2019). Asparaginase combined with discontinuous dexamethasone improves antileukemic efficacy without increasing osteonecrosis in preclinical models. PLoS ONE. 14(5). e0216328–e0216328. 8 indexed citations

12.

Harwood, Franklin C., Ramon I. Klein Geltink, Brendan P. O’Hara, et al.. (2018). ETV7 is an essential component of a rapamycin-insensitive mTOR complex in cancer. Science Advances. 4(9). eaar3938–eaar3938. 83 indexed citations

13.

Fukuda, Yu, Yao Wang, Shangli Lian, et al.. (2017). Upregulated heme biosynthesis, an exploitable vulnerability in MYCN-driven leukemogenesis. JCI Insight. 2(15). 36 indexed citations

14.

Sprowl, Jason A., Cynthia S. Lancaster, Navjotsingh Pabla, et al.. (2014). Cisplatin-Induced Renal Injury Is Independently Mediated by OCT2 and p53. Clinical Cancer Research. 20(15). 4026–4035. 61 indexed citations

15.

Dillon, Christopher P., Ricardo Weinlich, Diego A. Rodríguez, et al.. (2014). RIPK1 Blocks Early Postnatal Lethality Mediated by Caspase-8 and RIPK3. Cell. 157(5). 1189–1202. 429 indexed citations

16.

Kandilci, Ayten, et al.. (2013). Mapping of MN1 Sequences Necessary for Myeloid Transformation. PLoS ONE. 8(4). e61706–e61706. 9 indexed citations

17.

Zimmerman, Eric I., David C. Turner, Jassada Buaboonnam, et al.. (2013). Crenolanib is active against models of drug-resistant FLT3-ITD−positive acute myeloid leukemia. Blood. 122(22). 3607–3615. 141 indexed citations

18.

Zhou, Sheng, Zhijun Ma, Taihe Lu, et al.. (2013). Mouse Transplant Models for Evaluating the Oncogenic Risk of a Self-Inactivating XSCID Lentiviral Vector. PLoS ONE. 8(4). e62333–e62333. 17 indexed citations

19.

Pritchard, Colin C., et al.. (2010). IRIZIO : a novel gene cooperating with PAX3-FOXO1 in alveolar rhabdomyosarcoma (ARMS). Carcinogenesis. 32(4). 452–461. 7 indexed citations

20.

Janke, Laura J., Cathy S. Carlson, & Catherine A. St. Hill. (2010). The Novel Carbohydrate Tumor Antigen C2-O-sLe^x Is Upregulated in Canine Gastric Carcinomas. Veterinary Pathology. 47(3). 455–461. 10 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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