Capella Weems

893 total citations
9 papers, 748 citations indexed

About

Capella Weems is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Capella Weems has authored 9 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Capella Weems's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Melanoma and MAPK Pathways (2 papers) and Vascular Tumors and Angiosarcomas (1 paper). Capella Weems is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Melanoma and MAPK Pathways (2 papers) and Vascular Tumors and Angiosarcomas (1 paper). Capella Weems collaborates with scholars based in United States and Canada. Capella Weems's co-authors include Alan P. Fields, Lee Jamieson, Roderick P. Regala, E. Aubrey Thompson, Nicole R. Murray, András Khoór, Christine M. Lohse, Eric S. Edell, John A. Copland and Melody Stallings‐Mann and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Capella Weems

9 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Capella Weems United States	9	564	246	134	118	76	9	748
Isabel Martínez-Lacaci Spain	20	698 1.2×	409 1.7×	141 1.1×	131 1.1×	66 0.9×	30	992
Olivia Gardner United States	13	669 1.2×	407 1.7×	78 0.6×	102 0.9×	113 1.5×	22	929
C. Leah B. Kline United States	16	566 1.0×	298 1.2×	108 0.8×	159 1.3×	60 0.8×	25	855
Christopher G. Danes United States	8	508 0.9×	306 1.2×	121 0.9×	129 1.1×	61 0.8×	12	690
Adewale Adeyinka Sweden	14	642 1.1×	265 1.1×	85 0.6×	242 2.1×	85 1.1×	26	1.0k
Namrata Bora-Singhal United States	8	550 1.0×	280 1.1×	122 0.9×	193 1.6×	67 0.9×	9	720
Sandeep Singh United States	15	642 1.1×	424 1.7×	138 1.0×	255 2.2×	94 1.2×	25	972
Xuhong Fu China	12	488 0.9×	172 0.7×	64 0.5×	137 1.2×	87 1.1×	12	712
Jun-Ying Zhou United States	11	584 1.0×	186 0.8×	51 0.4×	181 1.5×	56 0.7×	11	749
Shengyan Xiang United States	16	765 1.4×	273 1.1×	47 0.4×	109 0.9×	69 0.9×	25	919

Countries citing papers authored by Capella Weems

Since Specialization

Citations

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

Fields of papers citing papers by Capella Weems

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Capella Weems. 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 Capella Weems. The network helps show where Capella Weems may publish in the future.

Co-authorship network of co-authors of Capella Weems

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

All Works

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9 of 9 papers shown

Yin, Ning, Capella Weems, Barath Shreeder, et al.. (2022). Protein kinase Cι mediates immunosuppression in lung adenocarcinoma. Science Translational Medicine. 14(671). eabq5931–eabq5931. 11 indexed citations

Yin, Ning, Yi Liu, András Khoór, et al.. (2019). Protein Kinase Cι and Wnt/β-Catenin Signaling: Alternative Pathways to Kras/Trp53-Driven Lung Adenocarcinoma. Cancer Cell. 36(2). 156–167.e7. 45 indexed citations

Kikuchi, Ken, Anuradha Soundararajan, Lee Ann Zarzabal, et al.. (2012). Protein kinase C iota as a therapeutic target in alveolar rhabdomyosarcoma. Oncogene. 32(3). 286–295. 28 indexed citations

Regala, Roderick P., Verline Justilien, Michael Walsh, et al.. (2011). Matrix Metalloproteinase-10 Promotes Kras-Mediated Bronchio-Alveolar Stem Cell Expansion and Lung Cancer Formation. PLoS ONE. 6(10). e26439–e26439. 30 indexed citations

Stallings‐Mann, Melody, Lee Jamieson, Roderick P. Regala, et al.. (2006). A Novel Small-Molecule Inhibitor of Protein Kinase Cι Blocks Transformed Growth of Non–Small-Cell Lung Cancer Cells. Cancer Research. 66(3). 1767–1774. 128 indexed citations

Regala, Roderick P., Capella Weems, Lee Jamieson, et al.. (2005). Atypical Protein Kinase Cι Plays a Critical Role in Human Lung Cancer Cell Growth and Tumorigenicity. Journal of Biological Chemistry. 280(35). 31109–31115. 158 indexed citations

Regala, Roderick P., Capella Weems, Lee Jamieson, et al.. (2005). Atypical Protein Kinase Cι Is an Oncogene in Human Non–Small Cell Lung Cancer. Cancer Research. 65(19). 8905–8911. 219 indexed citations

Yu, Wangsheng, Nicole R. Murray, Capella Weems, et al.. (2003). Role of Cyclooxygenase 2 in Protein Kinase C βII-mediated Colon Carcinogenesis. Journal of Biological Chemistry. 278(13). 11167–11174. 65 indexed citations

Murray, Nicole R., Capella Weems, Lu Chen, et al.. (2002). Protein kinase C βII and TGFβRII in ω-3 fatty acid–mediated inhibition of colon carcinogenesis. The Journal of Cell Biology. 157(6). 915–920. 64 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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