Megan E. Lampron

587 total citations
8 papers, 448 citations indexed

About

Megan E. Lampron is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Megan E. Lampron has authored 8 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 7 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Megan E. Lampron's work include Renal cell carcinoma treatment (7 papers), Cancer Genomics and Diagnostics (6 papers) and Renal and related cancers (3 papers). Megan E. Lampron is often cited by papers focused on Renal cell carcinoma treatment (7 papers), Cancer Genomics and Diagnostics (6 papers) and Renal and related cancers (3 papers). Megan E. Lampron collaborates with scholars based in United States, Spain and Italy. Megan E. Lampron's co-authors include Toni K. Choueiri, Sabina Signoretti, André P. Fay, Michael B. Atkins, Michelle S. Hirsch, Ingrid Carvo, Jiaxi Song, Joaquim Bellmunt, Gordon J. Freeman and Marcella Callea and has published in prestigious journals such as Journal of Clinical Oncology, The Lancet Oncology and Annals of Oncology.

In The Last Decade

Megan E. Lampron

8 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan E. Lampron United States	6	286	217	181	152	100	8	448
Satoshi Taga Japan	10	251 0.9×	191 0.9×	217 1.2×	113 0.7×	56 0.6×	18	514
Andrew Wiechert United States	9	154 0.5×	138 0.6×	149 0.8×	77 0.5×	66 0.7×	13	389
Sarah Abou Alaiwi United States	12	207 0.7×	238 1.1×	127 0.7×	92 0.6×	79 0.8×	44	428
Xinmin Yu China	11	252 0.9×	239 1.1×	93 0.5×	46 0.3×	101 1.0×	24	382
Zhi‐Bin Ke China	14	306 1.1×	83 0.4×	260 1.4×	213 1.4×	90 0.9×	61	574
Alessandra Modena Italy	11	183 0.6×	147 0.7×	148 0.8×	114 0.8×	59 0.6×	29	368
Maria Bassanelli Italy	10	326 1.1×	419 1.9×	99 0.5×	68 0.4×	39 0.4×	23	547
Emily Roarty United States	10	330 1.2×	348 1.6×	79 0.4×	138 0.9×	45 0.5×	24	480
Shuanghe Peng China	13	197 0.7×	150 0.7×	168 0.9×	171 1.1×	65 0.7×	23	379
Chaitali Nangia United States	9	158 0.6×	197 0.9×	77 0.4×	43 0.3×	55 0.6×	34	330

Countries citing papers authored by Megan E. Lampron

Since Specialization

Citations

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

Fields of papers citing papers by Megan E. Lampron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan E. Lampron. 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 Megan E. Lampron. The network helps show where Megan E. Lampron may publish in the future.

Co-authorship network of co-authors of Megan E. Lampron

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

All Works

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8 of 8 papers shown

1.

Fay, André P., Sabina Signoretti, Marcella Callea, et al.. (2015). Programmed death ligand-1 expression in adrenocortical carcinoma: an exploratory biomarker study. Journal for ImmunoTherapy of Cancer. 3(1). 3–3. 73 indexed citations

2.

Choueiri, Toni K., André P. Fay, Kathryn P. Gray, et al.. (2014). PD-L1 expression in nonclear-cell renal cell carcinoma. Annals of Oncology. 25(11). 2178–2184. 242 indexed citations

3.

Bellmunt, Joaquim, Francesc Pons, André P. Fay, et al.. (2014). Sequential Targeted Therapy After Pazopanib Therapy in Patients With Metastatic Renal Cell Cancer: Efficacy and Toxicity. Clinical Genitourinary Cancer. 12(4). 262–269. 10 indexed citations

4.

Fay, André P., Marcella Callea, Kathryn P. Gray, et al.. (2014). PD-L1 expression in non-clear cell renal cell carcinoma.. Journal of Clinical Oncology. 32(4_suppl). 424–424. 11 indexed citations

5.

Fay, André P., Marcella Callea, Kathryn P. Gray, et al.. (2014). PD-L1 expression in non-clear cell renal cell carcinoma and benign kidney tumors.. Journal of Clinical Oncology. 32(15_suppl). 4526–4526. 5 indexed citations

6.

Ürün, Yüksel, Kathryn P. Gray, Sabina Signoretti, et al.. (2013). Pharmacogenetics as predictor of sunitinib and mTOR inhibitors toxicity in patients with metastatic renal cell carcinoma (mRCC).. Journal of Clinical Oncology. 31(15_suppl). 4570–4570. 1 indexed citations

7.

Schutz, Fabio A., Mark M. Pomerantz, Kathryn P. Gray, et al.. (2012). Single nucleotide polymorphisms and risk of recurrence of renal-cell carcinoma: a cohort study. The Lancet Oncology. 14(1). 81–87. 44 indexed citations

8.

Choueiri, Toni K., John C. Cheville, Emanuele Palescandolo, et al.. (2012). BRAF Mutations in Metanephric Adenoma of the Kidney. European Urology. 62(5). 917–922. 62 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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