Krista Menard

851 total citations
9 papers, 373 citations indexed

About

Krista Menard is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Krista Menard has authored 9 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Krista Menard's work include Colorectal Cancer Treatments and Studies (3 papers), Cancer Treatment and Pharmacology (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Krista Menard is often cited by papers focused on Colorectal Cancer Treatments and Studies (3 papers), Cancer Treatment and Pharmacology (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Krista Menard collaborates with scholars based in United States, Japan and Germany. Krista Menard's co-authors include Robert A. Kramer, Joan M. Carboni, George L. Trainor, Francis Lee, Mark D. Wittman, Ann Greer, Dolatrai M. Vyas, Zheng Yang, Kelly McGlinchey and Marco M. Gottardis and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Krista Menard

8 papers receiving 367 citations

Peers

Krista Menard

MB

ONCOL

EDM

CR

PRM

Michael S. Stahler United States

Kelli Gaskins United States

Florencia Cayrol Argentina

A. Seun Ajiboye United States

Takao Yamori Japan

Viola Baradari Germany

Xiaomai Zhou China

Toru Hanamura Japan

Ramin Altaha United States

Bastianina Canu Italy

Michael S. Stahler United States

Krista Menard

171 ×0.9

MB

136 ×0.8

ONCOL

61 ×0.6

EDM

52 ×0.6

CR

67 ×1.1

PRM

Citations per year, relative to Krista Menard Krista Menard (= 1×) peers Michael S. Stahler

Countries citing papers authored by Krista Menard

Since Specialization

Citations

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

Fields of papers citing papers by Krista Menard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krista Menard

This figure shows the co-authorship network connecting the top 25 collaborators of Krista Menard. A scholar is included among the top collaborators of Krista Menard 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 Krista Menard. Krista Menard 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

1.

Shen, Fei, Krista Menard, Shaozhou K. Tian, et al.. (2025). Human Kallikrein 2: A Novel Lineage-Specific Surface Target in Prostate Cancer. Clinical Cancer Research. 31(21). 4543–4556.

2.

Shen, Fei, William Kevin Kelly, Neeta Pandit‐Taskar, et al.. (2024). Preclinical characterization of human Kallikrein 2 (hK2) as a novel target for the treatment of prostate cancer.. Journal of Clinical Oncology. 42(4_suppl). 202–202. 2 indexed citations

3.

Menard, Krista, Emily Chen, Kristen Chevalier, et al.. (2018). Abstract A11: Preclinical assessment of CD3 bispecific antibody efficacy: A comparison of humanized mouse models bearing xenografts and syngeneic mouse models using surrogate antibodies. Cancer Research. 78(10_Supplement). A11–A11. 1 indexed citations

4.

Shen, Hong, Lifei Wang, Weiqi Chen, et al.. (2016). Tissue distribution and tumor uptake of folate receptor–targeted epothilone folate conjugate, BMS-753493, in CD2F1 mice after systemic administration. Acta Pharmaceutica Sinica B. 6(5). 460–467. 17 indexed citations

5.

Velaparthi, Upender, Mark G. Saulnier, Mark D. Wittman, et al.. (2010). Insulin-like growth factor-1 receptor (IGF-1R) kinase inhibitors: SAR of a series of 3-[6-(4-substituted-piperazin-1-yl)-4-methyl-1H-benzimidazol-2-yl]-1H-pyridine-2-one. Bioorganic & Medicinal Chemistry Letters. 20(10). 3182–3185. 16 indexed citations

6.

Carboni, Joan M., Mark D. Wittman, Zheng Yang, et al.. (2009). BMS-754807, a small molecule inhibitor of insulin-like growth factor-1R/IR. Molecular Cancer Therapeutics. 8(12). 3341–3349. 218 indexed citations

7.

Lee, Francis Y. F., Richard Smykla, Kathy Johnston, et al.. (2008). Preclinical efficacy spectrum and pharmacokinetics of ixabepilone. Cancer Chemotherapy and Pharmacology. 63(2). 201–212. 83 indexed citations

8.

Covello, Kelly L., Christine Flefleh, Krista Menard, et al.. (2008). Preclinical pharmacology of epothilone-folate conjugate BMS-753493, a tumor-targeting agent selected for clinical development. 68. 2326–2326. 8 indexed citations

9.

Camuso, Amy, Christine Flefleh, David Kan, et al.. (2006). Preclinical efficacy evaluation of ixabepilone (BMS-247550) in combination with cetuximab or capecitabine in human colon and lung carcinoma xenografts. Journal of Clinical Oncology. 24(18_suppl). 12017–12017. 28 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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