Lee D. Gibbs

566 total citations
11 papers, 307 citations indexed

About

Lee D. Gibbs is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lee D. Gibbs has authored 11 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Lee D. Gibbs's work include S100 Proteins and Annexins (5 papers), Single-cell and spatial transcriptomics (2 papers) and Biomarkers in Disease Mechanisms (2 papers). Lee D. Gibbs is often cited by papers focused on S100 Proteins and Annexins (5 papers), Single-cell and spatial transcriptomics (2 papers) and Biomarkers in Disease Mechanisms (2 papers). Lee D. Gibbs collaborates with scholars based in United States. Lee D. Gibbs's co-authors include Jamboor K. Vishwanatha, Pankaj Chaudhary, Sayantan Maji, Cheryl Lewis, Sumihiro Suzuki, David W. Craig, John D. Carpten, Rania Bassiouni, Subhamoy Dasgupta and Troy A. McEachron and has published in prestigious journals such as Molecular Cell, Cancer Research and Molecular Cancer.

In The Last Decade

Lee D. Gibbs

10 papers receiving 304 citations

Peers

Lee D. Gibbs

MB

CR

ONCOL

IMMUN

PRM

Pakavarin Louphrasitthiphol United Kingdom

Jin‐Yih Low United States

Yi‐Chen Yen Taiwan

Jingde Chen China

Suzana Gomes United States

Baocun Sun China

Y H Gao China

Alice Boulghourjian Australia

Sri HariKrishna Vellanki Ireland

Eun Hye Hwang South Korea

Pakavarin Louphrasitthiphol United Kingdom

Lee D. Gibbs

267 ×1.0

MB

134 ×0.9

CR

78 ×1.4

ONCOL

58 ×1.1

IMMUN

27 ×1.0

PRM

Citations per year, relative to Lee D. Gibbs Lee D. Gibbs (= 1×) peers Pakavarin Louphrasitthiphol

Countries citing papers authored by Lee D. Gibbs

Since Specialization

Citations

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

Fields of papers citing papers by Lee D. Gibbs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee D. Gibbs. 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 Lee D. Gibbs. The network helps show where Lee D. Gibbs may publish in the future.

Co-authorship network of co-authors of Lee D. Gibbs

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

All Works

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11 of 11 papers shown

1.

Bassiouni, Rania, Michael O. Idowu, Lee D. Gibbs, et al.. (2022). Spatial Transcriptomic Analysis of a Diverse Patient Cohort Reveals a Conserved Architecture in Triple-Negative Breast Cancer. Cancer Research. 83(1). 34–48. 46 indexed citations

2.

Bassiouni, Rania, Michael O. Idowu, Lee D. Gibbs, et al.. (2022). Abstract 2032: Comprehensive spatial transcriptomic analysis of an integrated, diverse cohort reveals distinct molecular topographic patterns in triple negative breast cancer. Cancer Research. 82(12_Supplement). 2032–2032. 1 indexed citations

3.

Bassiouni, Rania, Lee D. Gibbs, David W. Craig, John D. Carpten, & Troy A. McEachron. (2021). Applicability of spatial transcriptional profiling to cancer research. Molecular Cell. 81(8). 1631–1639. 38 indexed citations

4.

Chaudhary, Pankaj, Lee D. Gibbs, Sayantan Maji, et al.. (2020). Serum exosomal-annexin A2 is associated with African-American triple-negative breast cancer and promotes angiogenesis. Breast Cancer Research. 22(1). 11–11. 72 indexed citations

5.

Gibbs, Lee D., Sayantan Maji, Rajesh Nandy, et al.. (2020). Clinical Significance of Annexin A2 Expression in Breast Cancer Patients. Cancers. 13(1). 2–2. 21 indexed citations

6.

Gibbs, Lee D., et al.. (2018). ANXA2 expression in African American triple-negative breast cancer patients. Breast Cancer Research and Treatment. 174(1). 113–120. 16 indexed citations

7.

Gibbs, Lee D. & Jamboor K. Vishwanatha. (2017). Prognostic impact of AnxA1 and AnxA2 gene expression in triple-negative breast cancer. Oncotarget. 9(2). 2697–2704. 27 indexed citations

8.

Gibbs, Lee D., et al.. (2016). MIEN1 is tightly regulated by SINE Alu methylation in its promoter. Oncotarget. 7(40). 65307–65319. 12 indexed citations

9.

Dasgupta, Subhamoy, et al.. (2015). MIEN1, a novel interactor of Annexin A2, promotes tumor cell migration by enhancing AnxA2 cell surface expression. Molecular Cancer. 14(1). 156–156. 54 indexed citations

10.

Maji, Sayantan, et al.. (2015). MIEN1 promotes oral cancer progression and implicates poor overall survival. Cancer Biology & Therapy. 16(6). 876–885. 19 indexed citations

11.

Vishwanatha, Jamboor K., et al.. (2012). Breast cancer disparities: Frontline strategies, proceedings of the 7 ^th annual texas conference on health disparities. Journal of Carcinogenesis. 11(1). 16–16. 1 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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