Kimberly W. McCrudden

1.0k total citations
17 papers, 827 citations indexed

About

Kimberly W. McCrudden is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Kimberly W. McCrudden has authored 17 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Neurology. Recurrent topics in Kimberly W. McCrudden's work include Cancer, Hypoxia, and Metabolism (8 papers), Angiogenesis and VEGF in Cancer (7 papers) and Renal and related cancers (4 papers). Kimberly W. McCrudden is often cited by papers focused on Cancer, Hypoxia, and Metabolism (8 papers), Angiogenesis and VEGF in Cancer (7 papers) and Renal and related cancers (4 papers). Kimberly W. McCrudden collaborates with scholars based in United States, Canada and United Kingdom. Kimberly W. McCrudden's co-authors include Jessica J. Kandel, Jianzhong Huang, Darrell J. Yamashiro, Jason S. Frischer, Tamara New, Jocelyn Holash, George D. Yancopoulos, Anna Serur, John S. Rudge and Eugene S. Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Pediatric Surgery and Molecular Cancer Research.

In The Last Decade

Kimberly W. McCrudden

16 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly W. McCrudden United States 13 574 296 242 130 96 17 827
Anna Serur United States 9 430 0.7× 203 0.7× 221 0.9× 110 0.8× 80 0.8× 15 646
John B. Hamner United States 13 367 0.6× 227 0.8× 331 1.4× 169 1.3× 100 1.0× 27 849
Mio Li Japan 12 491 0.9× 271 0.9× 274 1.1× 341 2.6× 42 0.4× 19 982
A. Eberhard Canada 6 406 0.7× 220 0.7× 177 0.7× 125 1.0× 23 0.2× 14 748
P Ardouin France 13 268 0.5× 112 0.4× 277 1.1× 85 0.7× 107 1.1× 19 799
R Sánchez United States 6 364 0.6× 180 0.6× 260 1.1× 99 0.8× 51 0.5× 7 671
María Villalba Spain 20 407 0.7× 232 0.8× 366 1.5× 143 1.1× 28 0.3× 35 959
Yuemeng Dai United States 11 428 0.7× 170 0.6× 141 0.6× 69 0.5× 113 1.2× 23 848
Gidi Rechavi Israel 17 614 1.1× 113 0.4× 265 1.1× 52 0.4× 71 0.7× 26 1.1k
Maria De Mol Belgium 7 505 0.9× 332 1.1× 253 1.0× 126 1.0× 13 0.1× 8 901

Countries citing papers authored by Kimberly W. McCrudden

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly W. McCrudden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly W. McCrudden. 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 Kimberly W. McCrudden. The network helps show where Kimberly W. McCrudden may publish in the future.

Co-authorship network of co-authors of Kimberly W. McCrudden

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

All Works

17 of 17 papers shown
1.
Mills, Robert W., et al.. (2011). Intussusception Caused by Heterotopic Pancreatic Tissue in A Child. Fetal and Pediatric Pathology. 30(2). 106–110. 3 indexed citations
2.
Mychaliska, George B., Benjamin S. Bryner, Clark Nugent, et al.. (2009). Giant Pulmonary Sequestration: The Rare Case Requiring the EXIT Procedure with Resection and ECMO. Fetal Diagnosis and Therapy. 25(1). 163–166. 12 indexed citations
3.
Kadenhe‐Chiweshe, Angela V., Kimberly W. McCrudden, Jason S. Frischer, et al.. (2008). Sustained VEGF Blockade Results in Microenvironmental Sequestration of VEGF by Tumors and Persistent VEGF Receptor-2 Activation. Molecular Cancer Research. 6(1). 1–9. 64 indexed citations
4.
McCrudden, Kimberly W., et al.. (2008). Premenarchal Ovarian Mass with Elevated Ca125. Journal of Pediatric and Adolescent Gynecology. 21(2). 84–84.
5.
Little, Danny C., Suzanne Yoder, Tracy C. Grikscheit, et al.. (2005). Cost considerations and applicant characteristics for the Pediatric Surgery Match. Journal of Pediatric Surgery. 40(1). 69–74. 38 indexed citations
6.
Huang, Jianzhong, Samuel Z. Soffer, Eugene S. Kim, et al.. (2004). Vascular Remodeling Marks Tumors That Recur During Chronic Suppression of Angiogenesis. Molecular Cancer Research. 2(1). 36–42. 88 indexed citations
7.
Frischer, Jason S., Jianzhong Huang, Anna Serur, et al.. (2004). Effects of potent VEGF blockade on experimental Wilms tumor and its persisting vasculature. International Journal of Oncology. 25(3). 549–53. 40 indexed citations
8.
Yokoi, Akiko, Kimberly W. McCrudden, Jianzhong Huang, et al.. (2003). Human epidermal growth factor receptor signaling contributes to tumor growth via angiogenesis in her2/neu-expressing experimental Wilms’ tumor. Journal of Pediatric Surgery. 38(11). 1569–1573. 13 indexed citations
9.
Yokoi, Akiko, Kimberly W. McCrudden, Jianzhong Huang, et al.. (2003). Blockade of her2/neu decreases VEGF expression but does not alter HIF-1 distribution in experimental Wilms tumor. Oncology Reports. 10(5). 1271–4. 10 indexed citations
10.
McCrudden, Kimberly W., Benjamin D. Hopkins, Jason S. Frischer, et al.. (2003). Anti-VEGF antibody in experimental hepatoblastoma: Suppression of tumor growth and altered angiogenesis. Journal of Pediatric Surgery. 38(3). 308–314. 25 indexed citations
11.
Kaicker, Shipra, Kimberly W. McCrudden, Tamara New, et al.. (2003). Thalidomide is anti-angiogenic in a xenograft model of neuroblastoma. International Journal of Oncology. 23(6). 1651–5. 26 indexed citations
12.
Huang, Jianzhong, Jason S. Frischer, Anna Serur, et al.. (2003). Regression of established tumors and metastases by potent vascular endothelial growth factor blockade. Proceedings of the National Academy of Sciences. 100(13). 7785–7790. 192 indexed citations
13.
McCrudden, Kimberly W., Akiko Yokoi, Amit J. Thosani, et al.. (2002). Topotecan is anti-angiogenic in experimental hepatoblastoma. Journal of Pediatric Surgery. 37(6). 857–861. 16 indexed citations
14.
Kim, Eugene S., Samuel Z. Soffer, Jianzhong Huang, et al.. (2002). Distinct response of experimental neuroblastoma to combination antiangiogenic strategies. Journal of Pediatric Surgery. 37(3). 518–522. 30 indexed citations
15.
Soffer, Samuel Z., Eugene S. Kim, Jianzhong Huang, et al.. (2002). Resistance of a VEGF-producing tumor to anti-VEGF antibody: Unimpeded growth of human rhabdoid tumor xenografts. Journal of Pediatric Surgery. 37(3). 528–532. 6 indexed citations
16.
Huang, Jianzhong, Samuel Z. Soffer, Eugene S. Kim, et al.. (2002). P53 accumulation in favorable-histology Wilms tumor is associated with angiogenesis and clinically aggressive disease. Journal of Pediatric Surgery. 37(3). 523–527. 19 indexed citations
17.
Kim, Eugene S., Anna Serur, Jianzhong Huang, et al.. (2002). Potent VEGF blockade causes regression of coopted vessels in a model of neuroblastoma. Proceedings of the National Academy of Sciences. 99(17). 11399–11404. 245 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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