Michael L. Nickerson

9.6k total citations · 1 hit paper
42 papers, 3.8k citations indexed

About

Michael L. Nickerson is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Michael L. Nickerson has authored 42 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 12 papers in Cancer Research. Recurrent topics in Michael L. Nickerson's work include Renal and related cancers (12 papers), Renal cell carcinoma treatment (11 papers) and Cancer Genomics and Diagnostics (7 papers). Michael L. Nickerson is often cited by papers focused on Renal and related cancers (12 papers), Renal cell carcinoma treatment (11 papers) and Cancer Genomics and Diagnostics (7 papers). Michael L. Nickerson collaborates with scholars based in United States, United Kingdom and Germany. Michael L. Nickerson's co-authors include Berton Zbar, W. Marston Linehan, Michelle B. Warren, Maria J. Merino, Laura S. Schmidt, Maria L. Turner, Nirmala Sharma, G.M. Glenn, McClellan M. Walther and Jorge R. Toro and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Michael L. Nickerson

42 papers receiving 3.7k 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.

Mutations in a novel gene lead to kidney tumors, lung wall defects, and benign tumors of the hair follicle in patients with the Birt-Hogg-Dubé syndrome

2002 638 citations Michael L. Nickerson, Michelle B. Warren et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael L. Nickerson United States	24	2.5k	1.9k	784	764	606	42	3.8k
Fiona Kaper United States	18	2.6k 1.1×	736 0.4×	349 0.4×	2.2k 2.8×	205 0.3×	24	4.1k
Sarah J. Plummer United States	31	1.1k 0.5×	466 0.2×	630 0.8×	545 0.7×	77 0.1×	71	2.6k
Caryn S. Ross-Innes United Kingdom	14	2.5k 1.0×	366 0.2×	865 1.1×	579 0.8×	61 0.1×	19	3.3k
Elizabeth Mambo United States	25	2.5k 1.0×	520 0.3×	311 0.4×	983 1.3×	118 0.2×	29	3.6k
John P. Murnane United States	34	2.6k 1.0×	212 0.1×	420 0.5×	559 0.7×	1.4k 2.3×	82	3.5k
Toshiya Inaba Japan	37	2.6k 1.1×	235 0.1×	443 0.6×	492 0.6×	135 0.2×	124	4.6k
Genta Nagae Japan	24	2.6k 1.1×	204 0.1×	386 0.5×	503 0.7×	108 0.2×	48	3.4k
Peter S. Rabinovitch United States	26	1.0k 0.4×	779 0.4×	682 0.9×	399 0.5×	191 0.3×	35	3.8k
Marieke Essers Germany	23	2.8k 1.2×	197 0.1×	254 0.3×	498 0.7×	386 0.6×	43	5.0k
David A. Alcorta United States	25	1.4k 0.6×	492 0.3×	172 0.2×	240 0.3×	578 1.0×	38	2.6k

Countries citing papers authored by Michael L. Nickerson

Since Specialization

Citations

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

Fields of papers citing papers by Michael L. Nickerson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Nickerson. 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 Michael L. Nickerson. The network helps show where Michael L. Nickerson may publish in the future.

Co-authorship network of co-authors of Michael L. Nickerson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Nickerson. A scholar is included among the top collaborators of Michael L. Nickerson 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 Michael L. Nickerson. Michael L. Nickerson 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

Koutros, Stella, Lee E. Moore, Michael L. Nickerson, et al.. (2021). Targeted Deep Sequencing of Bladder Tumors Reveals Novel Associations between Cancer Gene Mutations and Mutational Signatures with Major Risk Factors. Clinical Cancer Research. 27(13). 3725–3733. 11 indexed citations

Lou, Hong, Hongchuan Li, Luke L. Cai, et al.. (2019). The Human TET2 Gene Contains Three Distinct Promoter Regions With Differing Tissue and Developmental Specificities. Frontiers in Cell and Developmental Biology. 7. 99–99. 8 indexed citations

Nicholson, Scott J., Michael L. Nickerson, Michael Dean, et al.. (2015). The genome of Diuraphis noxia, a global aphid pest of small grains. BMC Genomics. 16(1). 429–429. 93 indexed citations

Nickerson, Michael L., Garrett M. Dancik, Kate M. Im, et al.. (2014). Concurrent Alterations in TERT , KDM6A , and the BRCA Pathway in Bladder Cancer. Clinical Cancer Research. 20(18). 4935–4948. 87 indexed citations

Oleksyk, Tarás K., Jean‐François Pombert, Anyi Mazo‐Vargas, et al.. (2012). A locally funded Puerto Rican parrot (Amazona vittata) genome sequencing project increases avian data and advances young researcher education. GigaScience. 1(1). 14–14. 34 indexed citations

Fredericks, William J., Huiyi Wang, Priti Lal, et al.. (2011). The Bladder Tumor Suppressor Protein TERE1 (UBIAD1)Modulates Cell Cholesterol: Implications for Tumor Progression. DNA and Cell Biology. 30(11). 851–864. 45 indexed citations

Cherkasova, Elena, Sambasiva P. Rao, Yoshiyuki Takahashi, et al.. (2011). Inactivation of the von Hippel–Lindau tumor suppressor leads to selective expression of a human endogenous retrovirus in kidney cancer. Oncogene. 30(47). 4697–4706. 56 indexed citations

Léger, Adrien, Caroline Le Guiner, Michael L. Nickerson, et al.. (2011). Adeno-Associated Viral Vector-Mediated Transgene Expression Is Independent of DNA Methylation in Primate Liver and Skeletal Muscle. PLoS ONE. 6(6). e20881–e20881. 14 indexed citations

Coveney, Douglas, Xiaoning Peng, Chitralekha Bhattacharya, et al.. (2005). The Ter mutation in the dead end gene causes germ cell loss and testicular germ cell tumours. Nature. 435(7040). 360–364. 288 indexed citations

10.

Vocke, Cathy D., Youfeng Yang, Christian P. Pavlovich, et al.. (2005). High Frequency of Somatic Frameshift BHD Gene Mutations in Birt-Hogg-Dubé–Associated Renal Tumors. JNCI Journal of the National Cancer Institute. 97(12). 931–935. 173 indexed citations

11.

Bassett, Carole L., Michael L. Nickerson, R. Farrell, et al.. (2005). Characterization of an S-locus receptor protein kinase-like gene from peach. Tree Physiology. 25(4). 403–411. 13 indexed citations

12.

Schmidt, Laura S., Michael L. Nickerson, Michelle B. Warren, et al.. (2005). Germline BHD-Mutation Spectrum and Phenotype Analysis of a Large Cohort of Families with Birt-Hogg-Dubé Syndrome. The American Journal of Human Genetics. 76(6). 1023–1033. 274 indexed citations

13.

Callahan, Ann, Ralph Scorza, Carole L. Bassett, Michael L. Nickerson, & Frederick B. Abeles. (2004). Deletions in an endopolygalacturonase gene cluster correlate with non-melting flesh texture in peach. Functional Plant Biology. 31(2). 159–168. 61 indexed citations

14.

Schmidt, Laura S., Michael L. Nickerson, Debora Angeloni, et al.. (2004). EARLY ONSET HEREDITARY PAPILLARY RENAL CARCINOMA: GERMLINE MISSENSE MUTATIONS IN THE TYROSINE KINASE DOMAIN OF THE MET PROTO-ONCOGENE. The Journal of Urology. 172(4 Part 1). 1256–1261. 75 indexed citations

15.

Warren, Michelle B., Carlos A. Torres‐Cabala, Maria L. Turner, et al.. (2004). Expression of Birt–Hogg–Dubé gene mRNA in normal and neoplastic human tissues. Modern Pathology. 17(8). 998–1011. 100 indexed citations

16.

Pavlovich, Christian P., Hesed Padilla‐Nash, Danny Wangsa, et al.. (2003). Patterns of aneuploidy in stage IV clear cell renal cell carcinoma revealed by comparative genomic hybridization and spectral karyotyping. Genes Chromosomes and Cancer. 37(3). 252–260. 19 indexed citations

17.

Toro, Jorge R., Michael L. Nickerson, Ming-Hui Wei, et al.. (2003). Mutations in the Fumarate Hydratase Gene Cause Hereditary Leiomyomatosis and Renal Cell Cancer in Families in North America. The American Journal of Human Genetics. 73(1). 95–106. 407 indexed citations

18.

Nickerson, Michael L., Michelle B. Warren, Jorge R. Toro, et al.. (2002). Mutations in a novel gene lead to kidney tumors, lung wall defects, and benign tumors of the hair follicle in patients with the Birt-Hogg-Dubé syndrome. Cancer Cell. 2(2). 157–164. 638 indexed citations breakdown →

19.

Nickerson, Michael L., Gregor Weirich, Berton Zbar, & Laura S. Schmidt. (2000). Signature-based analysis of MET proto-oncogene mutations using DHPLC. Human Mutation. 16(1). 68–76. 35 indexed citations

20.

Bassett, Carole L., et al.. (2000). Alternative transcript initiation and novel post-transcriptional processing of a leucine-rich repeat receptor-like protein kinase gene that responds to short-day photoperiodic floral induction in morning glory (Ipomoea nil). Plant Molecular Biology. 43(1). 43–58. 19 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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