Brian M. Necela

3.0k total citations
52 papers, 2.2k citations indexed

About

Brian M. Necela is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Brian M. Necela has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Oncology and 12 papers in Immunology. Recurrent topics in Brian M. Necela's work include Peroxisome Proliferator-Activated Receptors (8 papers), HER2/EGFR in Cancer Research (7 papers) and Toxic Organic Pollutants Impact (6 papers). Brian M. Necela is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (8 papers), HER2/EGFR in Cancer Research (7 papers) and Toxic Organic Pollutants Impact (6 papers). Brian M. Necela collaborates with scholars based in United States, Australia and United Kingdom. Brian M. Necela's co-authors include E. Aubrey Thompson, Weidong Su, Edith A. Perez, Heike Döppler, Geou‐Yarh Liou, Peter Störz, Cathy Andorfer, Yan W. Asmann, Richard S. Pollenz and Panos Z. Anastasiadis and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Brian M. Necela

51 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian M. Necela United States	24	1.1k	691	592	366	248	52	2.2k
Akiko Kimura Japan	26	1.4k 1.3×	545 0.8×	366 0.6×	357 1.0×	156 0.6×	49	2.4k
Judith H. Harmey Ireland	24	1.3k 1.2×	755 1.1×	641 1.1×	464 1.3×	224 0.9×	35	2.7k
Gerold Untergasser Austria	29	1.1k 1.0×	527 0.8×	370 0.6×	280 0.8×	191 0.8×	84	2.4k
Ke Guo China	28	2.1k 2.0×	457 0.7×	565 1.0×	514 1.4×	167 0.7×	68	3.1k
Benilde Jiménez Spain	28	2.2k 2.0×	568 0.8×	841 1.4×	356 1.0×	169 0.7×	49	3.1k
Na Niu China	25	834 0.8×	438 0.6×	378 0.6×	337 0.9×	281 1.1×	103	2.1k
Zdeněk Kolář Czechia	25	1.5k 1.4×	800 1.2×	597 1.0×	158 0.4×	201 0.8×	121	2.7k
Alexander Valent France	18	962 0.9×	659 1.0×	572 1.0×	271 0.7×	81 0.3×	41	1.9k
Kaustubh Datta United States	33	2.0k 1.9×	827 1.2×	787 1.3×	350 1.0×	162 0.7×	75	3.1k
Pedro J. Real Spain	24	2.3k 2.2×	723 1.0×	389 0.7×	417 1.1×	206 0.8×	58	3.5k

Countries citing papers authored by Brian M. Necela

Since Specialization

Citations

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

Fields of papers citing papers by Brian M. Necela

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Necela. 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 Brian M. Necela. The network helps show where Brian M. Necela may publish in the future.

Co-authorship network of co-authors of Brian M. Necela

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Necela. A scholar is included among the top collaborators of Brian M. Necela 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 Brian M. Necela. Brian M. Necela 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

Wickland, Daniel P., Erik Jessen, Brian M. Necela, et al.. (2024). Comprehensive profiling of cancer neoantigens from aberrant RNA splicing. Journal for ImmunoTherapy of Cancer. 12(5). e008988–e008988. 4 indexed citations

Rivera, Michael, Asha Nair, Yi Liu, et al.. (2024). BRAFV600E/pTERT double mutated papillary thyroid cancers exhibit immune gene suppression. Frontiers in Endocrinology. 15. 1440722–1440722.

Caldera, Freddy, Francis A. Farraye, Brian M. Necela, et al.. (2022). Higher Cell-Mediated Immune Responses in Patients With Inflammatory Bowel Disease on Anti-TNF Therapy After COVID-19 Vaccination. Inflammatory Bowel Diseases. 29(8). 1202–1209. 11 indexed citations

Norton, Nadine, Kathleen Tenner, Karla V. Ballman, et al.. (2018). Generation of HER2-specific antibody immunity during trastuzumab adjuvant therapy associates with reduced relapse in resected HER2 breast cancer. Breast Cancer Research. 20(1). 52–52. 11 indexed citations

Davila, Jaime, Jason S. Starr, Steven Attia, et al.. (2017). Comprehensive Genomic Profiling of a Rare Thyroid Follicular Dendritic Cell Sarcoma. Rare Tumors. 9(2). 50–53. 10 indexed citations

Perez, Edith A., Karla V. Ballman, Afshin Mashadi-Hossein, et al.. (2016). Intrinsic Subtype and Therapeutic Response Among HER2-Positive Breaty st Tumors from the NCCTG (Alliance) N9831 Trial. JNCI Journal of the National Cancer Institute. 109(2). djw207–djw207. 27 indexed citations

Norton, Nadine, Pooja Advani, Daniel Serie, et al.. (2016). Assessment of Tumor Heterogeneity, as Evidenced by Gene Expression Profiles, Pathway Activation, and Gene Copy Number, in Patients with Multifocal Invasive Lobular Breast Tumors. PLoS ONE. 11(4). e0153411–e0153411. 29 indexed citations

Liou, Geou‐Yarh, Heike Döppler, Brian M. Necela, et al.. (2014). Mutant KRAS–Induced Expression of ICAM-1 in Pancreatic Acinar Cells Causes Attraction of Macrophages to Expedite the Formation of Precancerous Lesions. Cancer Discovery. 5(1). 52–63. 158 indexed citations

Liou, Geou‐Yarh, Heike Döppler, Brian M. Necela, et al.. (2013). Macrophage-secreted cytokines drive pancreatic acinar-to-ductal metaplasia through NF-κB and MMPs. The Journal of Cell Biology. 202(3). 563–577. 214 indexed citations

10.

Asmann, Yan W., Brian M. Necela, Krishna R. Kalari, et al.. (2012). Detection of Redundant Fusion Transcripts as Biomarkers or Disease-Specific Therapeutic Targets in Breast Cancer. Cancer Research. 72(8). 1921–1928. 75 indexed citations

11.

Asmann, Yan W., Asif Hossain, Brian M. Necela, et al.. (2011). A novel bioinformatics pipeline for identification and characterization of fusion transcripts in breast cancer and normal cell lines. Nucleic Acids Research. 39(15). e100–e100. 80 indexed citations

12.

Andorfer, Cathy, Brian M. Necela, E. Aubrey Thompson, & Edith A. Perez. (2011). MicroRNA signatures: clinical biomarkers for the diagnosis and treatment of breast cancer. Trends in Molecular Medicine. 17(6). 313–319. 168 indexed citations

13.

Necela, Brian M. & E. Aubrey Thompson. (2008). Pathophysiological Roles of PPARγ in Gastrointestinal Epithelial Cells. PPAR Research. 2008(1). 148687–148687. 7 indexed citations

14.

Havens, Jennifer M., Brian M. Necela, Weidong Su, et al.. (2007). Functional Genomic Analysis Reveals Cross-talk between Peroxisome Proliferator-activated Receptor γ and Calcium Signaling in Human Colorectal Cancer Cells. Journal of Biological Chemistry. 282(32). 23387–23401. 26 indexed citations

15.

Necela, Brian M. & John A. Cidlowski. (2004). A Single Amino Acid Change in the First Zinc Finger of the DNA Binding Domain of the Glucocorticoid Receptor Regulates Differential Promoter Selectivity. Journal of Biological Chemistry. 279(38). 39279–39288. 16 indexed citations

16.

Necela, Brian M.. (2003). Development of a flow cytometric assay to study glucocorticoid receptor-mediated gene activation in living cells. Steroids. 68(4). 341–350. 14 indexed citations

17.

Pollenz, Richard S., et al.. (2002). Analysis of rainbow trout Ah receptor protein isoforms in cell culture reveals conservation of function in Ah receptor-mediated signal transduction. Biochemical Pharmacology. 64(1). 49–60. 16 indexed citations

18.

Necela, Brian M. & Richard S. Pollenz. (2001). Identification of a novel C-terminal domain involved in the negative function of the rainbow trout Ah receptor nuclear translocator protein isoform a (rtARNTa) in Ah receptor-mediated signaling11Abbreviations: ARNT, aryl hydrocarbon receptor nuclear translocator; rtARNT, rainbow trout ARNT; mARNT, mouse ARNT; bHLH, basic helix-loop-helix; PAS, PER-ARNT-SIM; AHR, aryl hydrocarbon receptor; TCDD, 2,3,7,8-tetrachlorodibenzo-p-dioxin; HIF, hypoxia-inducible factor; GAR-HRP, goat anti-rabbit horseradish peroxidase; TBS, Tris-buffered saline; TTBS, Tris-buffered saline with Tween 20; TBE, Tris, boric acid, EDTA; DMEM, Dulbecco’s minimum essential medium; FBS, fetal bovine serum, PCR, polymerase chain reaction; DTT, dithiothreitol; EMSA, electrophoretic mobility shift assay; TNT, transcription and translation; XRE, xenobiotic response element; and P450, cytochrome P450.. Biochemical Pharmacology. 62(3). 307–318. 6 indexed citations

19.

Necela, Brian M. & Richard S. Pollenz. (1999). Functional analysis of activation and repression domains of the rainbow trout aryl hydrocarbon receptor nuclear translocator (rtARNT) protein isoforms. Biochemical Pharmacology. 57(10). 1177–1190. 13 indexed citations

20.

Pollenz, Richard S., et al.. (1996). Isolation and Expression of cDNAs from Rainbow Trout (Oncorhynchus mykiss) That Encode Two Novel Basic Helix-Loop-Helix/PER-ARNT-SIM (bHLH/PAS) Proteins with Distinct Functions in the Presence of the Aryl Hydrocarbon Receptor. Journal of Biological Chemistry. 271(48). 30886–30896. 75 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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