Kimberly Credit

18 total papers · 433 total citations
10 papers, 349 citations indexed

About

Kimberly Credit is a scholar working on Nephrology, Surgery and Reproductive Medicine. According to data from OpenAlex, Kimberly Credit has authored 10 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nephrology, 5 papers in Surgery and 3 papers in Reproductive Medicine. Recurrent topics in Kimberly Credit's work include Dialysis and Renal Disease Management (6 papers), Central Venous Catheters and Hemodialysis (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). Kimberly Credit is often cited by papers focused on Dialysis and Renal Disease Management (6 papers), Central Venous Catheters and Hemodialysis (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). Kimberly Credit collaborates with scholars based in United States and Norway. Kimberly Credit's co-authors include Michael F. Flessner, Zhi He, Jaehwa Choi, Jeffrey R. Henegar, Helge Wiig, Rebecca Potter, Iqbal Massodi, Gene L. Bidwell, Xiaorong Li and Michael D. Hughson and has published in prestigious journals such as Clinical Cancer Research, Journal of Applied Physiology and Journal of the American Society of Nephrology.

In The Last Decade

Kimberly Credit

10 papers receiving 338 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kimberly Credit	114	91	87	84	80	10	349
M.P. Carreno	45 0.4×	48 0.5×	57 0.7×	53 0.6×	49 0.6×	14	318
Gunilla Grundström	62 0.5×	34 0.4×	18 0.2×	29 0.3×	83 1.0×	8	320
Jennifer L. Huang	96 0.8×	46 0.5×	48 0.6×	44 0.5×	153 1.9×	9	377
F. Nicholas Franano	39 0.3×	51 0.6×	42 0.5×	21 0.3×	53 0.7×	14	340
Sarah G. Withers	27 0.2×	61 0.7×	25 0.3×	28 0.3×	52 0.7×	8	397
Denise Jaggers	109 1.0×	50 0.5×	28 0.3×	59 0.7×	136 1.7×	9	356
Daniele Perl‐Treves	62 0.5×	53 0.6×	80 0.9×	56 0.7×	151 1.9×	11	374
Deborah D. Chin	26 0.2×	31 0.3×	76 0.9×	91 1.1×	155 1.9×	12	370
Yinyin Liao	58 0.5×	21 0.2×	59 0.7×	41 0.5×	112 1.4×	10	330
Marieke Sternkopf	42 0.4×	36 0.4×	26 0.3×	19 0.2×	58 0.7×	9	294

Countries citing papers authored by Kimberly Credit

Since Specialization

Citations

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

Fields of papers citing papers by Kimberly Credit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Credit

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

All Works

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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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