KL Pogue-Geile

422 total citations
14 papers, 371 citations indexed

About

KL Pogue-Geile is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, KL Pogue-Geile has authored 14 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in KL Pogue-Geile's work include HER2/EGFR in Cancer Research (4 papers), Advanced Breast Cancer Therapies (3 papers) and Herpesvirus Infections and Treatments (3 papers). KL Pogue-Geile is often cited by papers focused on HER2/EGFR in Cancer Research (4 papers), Advanced Breast Cancer Therapies (3 papers) and Herpesvirus Infections and Treatments (3 papers). KL Pogue-Geile collaborates with scholars based in United States and South Korea. KL Pogue-Geile's co-authors include A I Meisler, Ira G. Wool, James M. Pipas, John R. Geiser, Charles Miller, Patricia G. Spear, S. Richard Jaskunas, Lenore Pereira, S R King and Shiladitya DasSarma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Molecular and Cellular Biology.

In The Last Decade

KL Pogue-Geile

14 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
KL Pogue-Geile United States	8	233	82	80	75	55	14	371
S Y Zhao China	8	196 0.8×	66 0.8×	25 0.3×	78 1.0×	48 0.9×	17	354
Celia Keim United States	5	227 1.0×	200 2.4×	82 1.0×	33 0.4×	28 0.5×	6	408
Manxia Fan United States	9	231 1.0×	280 3.4×	71 0.9×	60 0.8×	36 0.7×	14	485
Frank Korioth Germany	7	290 1.2×	90 1.1×	190 2.4×	63 0.8×	66 1.2×	7	490
Kerstin Crusius Germany	10	258 1.1×	119 1.5×	311 3.9×	105 1.4×	171 3.1×	12	587
Angela Seelig Germany	10	340 1.5×	232 2.8×	70 0.9×	162 2.2×	44 0.8×	11	504
Allysia J. Matthews United States	5	242 1.0×	253 3.1×	51 0.6×	79 1.1×	24 0.4×	9	439
Murli Narayan United States	8	214 0.9×	111 1.4×	29 0.4×	183 2.4×	56 1.0×	9	442
Artur A. Serebrenik United States	12	258 1.1×	41 0.5×	33 0.4×	98 1.3×	50 0.9×	21	416
Jürgen Bachl Germany	9	214 0.9×	198 2.4×	25 0.3×	39 0.5×	44 0.8×	16	364

Countries citing papers authored by KL Pogue-Geile

Since Specialization

Citations

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

Fields of papers citing papers by KL Pogue-Geile

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by KL Pogue-Geile. 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 KL Pogue-Geile. The network helps show where KL Pogue-Geile may publish in the future.

Co-authorship network of co-authors of KL Pogue-Geile

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

All Works

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14 of 14 papers shown

Pogue-Geile, KL, Yun Wang, Ashok Srinivasan, et al.. (2019). Abstract P3-10-04: The fully validated NSABP/NRG 8-gene signature which predicted the degree of benefit in the adjuvant setting (B-31 and NCCTG N9831) associates with pCR in the neoadjuvant setting in NSABP clinical trial FB-7. Cancer Research. 79(4_Supplement). P3–10. 1 indexed citations

Mashadi-Hossein, Afshin, Nan Song, KL Pogue-Geile, et al.. (2019). Abstract PD3-02: Incidence of late relapse in HER2-positive (HER2+) breast cancer patients receiving adjuvant trastuzumab: Combined analysis of NCCTG (Alliance) N9831 and NSABP (NRG) B31. Cancer Research. 79(4_Supplement). PD3–2. 3 indexed citations

Pogue-Geile, KL, et al.. (2018). Abstract PD3-18: The NSABP/NRG 8-gene signature accurately predicts degree of benefit from trastuzumab in Alliance/NCCTG N9831: Validation of the 8-gene signature in an independent clinical trial. Cancer Research. 78(4_Supplement). PD3–18. 1 indexed citations

Langley, Elizabeth, et al.. (2017). Abstract P1-07-12: An exploratory correlative biomarker analysis of NSABP FB-7, a phase II randomized trial evaluating neoadjuvant therapy with weekly paclitaxel (P) plus neratinib (N) or trastuzumab (T) or neratinib and trastuzumab (N+T) followed by doxorubicin and cyclophosphamide (AC) with postoperative T in women with locally advanced HER2-positive breast cancer. Cancer Research. 77(4_Supplement). P1–7. 1 indexed citations

Robidoux, A., Jame Abraham, Nicla La Verde, et al.. (2016). Abstract PD5-04: NSABP FB-7: A phase II randomized trial evaluating neoadjuvant therapy with weekly paclitaxel (P) plus neratinib (N) or trastuzumab (T) or neratinib and trastuzumab (N+T) followed by doxorubicin and cyclophosphamide (AC) with postoperative T in women with locally advanced HER2-positive breast cancer. Cancer Research. 76(4_Supplement). PD5–4. 12 indexed citations

Okada, Hideho, Jason Attanucci, Katinka M. Giezeman‐Smits, et al.. (2001). Immunization with an antigen identified by cytokine tumor vaccine-assisted SEREX (CAS) suppressed growth of the rat 9L glioma in vivo.. PubMed. 61(6). 2625–31. 31 indexed citations

Pogue-Geile, KL, et al.. (1998). The role of intracisternal A-type particles in the evolution of factor-independent murine hematopoietic cell lines. Leukemia. 12(1). 4–12. 5 indexed citations

Pogue-Geile, KL, et al.. (1995). Cloning and expression of unique murine macrophage colony-stimulating factor transcripts. Blood. 85(12). 3478–3486. 5 indexed citations

Pogue-Geile, KL, John R. Geiser, Charles Miller, et al.. (1991). Ribosomal protein genes are overexpressed in colorectal cancer: isolation of a cDNA clone encoding the human S3 ribosomal protein.. Molecular and Cellular Biology. 11(8). 3842–3849. 200 indexed citations

10.

Pogue-Geile, KL & Patricia G. Spear. (1986). Enhanced rate of conversion or recombination of markers within a region of unique sequence in the herpes simplex virus genome. Journal of Virology. 58(2). 704–708. 14 indexed citations

11.

Pogue-Geile, KL, et al.. (1985). Novel rearrangements of herpes simplex virus DNA sequences resulting from duplication of a sequence within the unique region of the L component. Journal of Virology. 53(2). 456–461. 25 indexed citations

12.

Pogue-Geile, KL, et al.. (1982). Expression of herpes simplex virus glycoprotein C from a DNA fragment inserted into the thymidine kinase gene of this virus.. Proceedings of the National Academy of Sciences. 79(21). 6612–6616. 37 indexed citations

13.

King, S R, et al.. (1980). Identification of a second tetracycline-inducible polypeptide encoded by Tn10. Journal of Bacteriology. 144(1). 346–355. 17 indexed citations

14.

Pogue-Geile, KL, Shiladitya DasSarma, S R King, & S. Richard Jaskunas. (1980). Recombination between bacteriophage lambda and plasmid pBR322 in Escherichia coli. Journal of Bacteriology. 142(3). 992–1003. 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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