Madé Wenten

24 papers receiving 1.9k citations

Madé Wenten's Hit Papers

Turnover intention in new graduate nurses: a multivariate analysis 2008 · 267 citations
2670+6+12Years since publication50100150200250

Peers

Madé Wenten
Comparison fields: 5 of 98
  • Leadership and Management 121
  • Research and Theory 184
  • Endocrinology, Diabetes and Metabolism 364
  • Physiology 407
  • Oncology 224
Replace Lu Han with:
Lu Han China
Hsiang‐Chun Lee Taiwan
Karen L. Koenig United States
Kyra Riegle Whitmer United States
Susan Olivo‐Marston United States
Ken Gu Singapore
Shuhong Wang China
Joong-Yeon Lim South Korea
Paul A. H. van Noord Netherlands
Heeseung Choi South Korea
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Countries citing papers authored by Madé Wenten

Since Specialization
Citations

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

Fields of papers citing papers by Madé Wenten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Madé Wenten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Madé Wenten Line = papers co-authored together Madé Wenten links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009511
2
Turnover intention in new graduate nurses: a multivariate analysis
Hit paper breakdown →
2008267
3 2010216
4 2011125
5 2006122
6 2014105
7 2016103
8 200290
9 201588
10 201269
11 200859
12 200937
13 201036
14 200935
15 200934
16 201328
17 200524
18 200623
19 200918
20 20205

About Madé Wenten

Madé Wenten is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Oncology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Asthma and respiratory diseases (4 papers), Smoking Behavior and Cessation (3 papers), Polyomavirus and related diseases (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Pancreatitis Pathology and Treatment (2 papers), Opioid Use Disorder Treatment (2 papers) and Multiple Sclerosis Research Studies (2 papers). The work is most often cited by research in Leadership and Management (121 citations), Research and Theory (184 citations), Endocrinology, Diabetes and Metabolism (364 citations), Physiology (407 citations) and Oncology (224 citations). Madé Wenten has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Frank D. Gilliland, Carrie V. Breton, Pauline C. Beecroft, Frederick J. Dorey, Fei Pan, Hyang‐Min Byun, Allen S. Yang, Gary Bloomgren, Muhammad Towhid Salam and Sandra Richman. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, PEDIATRICS, BMC Neurology, Diabetes Care and Journal of NeuroVirology.

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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