Kaitlynn Custer

457 total citations
9 papers, 304 citations indexed

About

Kaitlynn Custer is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Kaitlynn Custer has authored 9 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 3 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Kaitlynn Custer's work include Renal cell carcinoma treatment (5 papers), Renal and Vascular Pathologies (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Kaitlynn Custer is often cited by papers focused on Renal cell carcinoma treatment (5 papers), Renal and Vascular Pathologies (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Kaitlynn Custer collaborates with scholars based in United States and Mexico. Kaitlynn Custer's co-authors include David D. Thiel, Alexander S. Parker, Andrew Davidiuk, Colleen S. Thomas, Michael G. Heckman, Bradley C. Leibovich, Erik P. Castle, Daniel Serie, Kevin J. Wu and John C. Cheville and has published in prestigious journals such as International Journal of Cancer, European Urology and Urology.

In The Last Decade

Kaitlynn Custer

9 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaitlynn Custer United States	7	241	145	85	44	31	9	304
Andrew Davidiuk United States	6	218 0.9×	161 1.1×	75 0.9×	33 0.8×	31 1.0×	7	300
V. Gómez Dos Santos Spain	10	127 0.5×	158 1.1×	44 0.5×	49 1.1×	19 0.6×	66	312
Jae Duck Choi South Korea	12	258 1.1×	88 0.6×	96 1.1×	15 0.3×	29 0.9×	36	385
Julien Dagenais United States	12	369 1.5×	170 1.2×	189 2.2×	52 1.2×	25 0.8×	32	415
S. Esquena Spain	12	329 1.4×	85 0.6×	24 0.3×	54 1.2×	41 1.3×	38	410
K. Henning Austria	6	200 0.8×	187 1.3×	113 1.3×	28 0.6×	18 0.6×	9	324
Ryan Ward United States	10	241 1.0×	46 0.3×	69 0.8×	12 0.3×	105 3.4×	37	314
Fabio Muttin Italy	9	231 1.0×	91 0.6×	90 1.1×	13 0.3×	24 0.8×	27	262
Maida Bada Italy	9	151 0.6×	63 0.4×	17 0.2×	12 0.3×	36 1.2×	28	253
Ece Dilege Türkiye	10	103 0.4×	194 1.3×	44 0.5×	16 0.4×	10 0.3×	20	314

Countries citing papers authored by Kaitlynn Custer

Since Specialization

Citations

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

Fields of papers citing papers by Kaitlynn Custer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaitlynn Custer

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

Ball, Colleen T., et al.. (2019). Factors associated with prolonged length of stay following robotic-assisted partial nephrectomy.. PubMed. 26(2). 9726–9732. 6 indexed citations

Ball, Colleen T., et al.. (2018). The Association of the Mayo Adhesive Probability (MAP) Score With Total Operative Time in Patients Undergoing Hand-assisted Laparoscopic Donor Nephrectomy. Urology. 124. 142–147. 9 indexed citations

Antwi, Samuel O., Jeanette E. Eckel‐Passow, Daniel Serie, et al.. (2017). Coffee consumption and risk of renal cell carcinoma. Cancer Causes & Control. 28(8). 857–866. 15 indexed citations

Antwi, Samuel O., Jeanette E. Eckel‐Passow, Daniel Serie, et al.. (2017). Alcohol consumption, variability in alcohol dehydrogenase genes and risk of renal cell carcinoma. International Journal of Cancer. 142(4). 747–756. 13 indexed citations

Thiel, David D., Andrew Davidiuk, Gregory A. Broderick, et al.. (2015). Comparison of patient-reported quality of life outcome questionnaire response rates between patients treated surgically for renal cell carcinoma and prostate carcinoma. BMC Urology. 15(1). 58–58. 4 indexed citations

Thiel, David D., et al.. (2015). Mayo Adhesive Probability Score Is Associated With Localized Renal Cell Carcinoma Progression-free Survival. Urology. 89. 54–62. 36 indexed citations

Davidiuk, Andrew, Alexander S. Parker, Colleen S. Thomas, et al.. (2015). Prospective Evaluation of the Association of Adherent Perinephric Fat With Perioperative Outcomes of Robotic-assisted Partial Nephrectomy. Urology. 85(4). 836–842. 34 indexed citations

Davidiuk, Andrew, Alexander S. Parker, Colleen S. Thomas, et al.. (2014). Mayo Adhesive Probability Score: An Accurate Image-based Scoring System to Predict Adherent Perinephric Fat in Partial Nephrectomy. European Urology. 66(6). 1165–1171. 186 indexed citations

Parker, Alexander S., Nancy N. Diehl, Michelle Arnold, et al.. (2013). Abstract A62: Alcohol consumption, genetic variation in alcohol dehydrogenase genes, and risk of clear cell renal cell carcinoma. Cancer Prevention Research. 6(11_Supplement). A62–A62. 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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