N. W. Please

779 citations
19 papers · 574 · h-index 12

Impact in

Papers in

N. W. Please

19 papers receiving 437 citations

Peers

N. W. Please
Comparison fields: 5 of 143
  • Filtration and Separation 32
  • Statistics and Probability 110
  • Endocrinology, Diabetes and Metabolism 105
  • Electrochemistry 20
  • Computational Mathematics 2
Replace Vincent Delatour with:
Vincent Delatour France
Yining Wang United States
Christine Garnett United States
Georg Ferber United Kingdom
Mark W. Farmen United States
Joseph L. Ciminera United States
Kevin Dykstra United States
Thomas E. Bradstreet United States
David V. Huntsberger United States
David Fairman United Kingdom
N. W. Please relative to Vincent Delatour France Vincent Delatour's profile →
Citations per field
00.5×10×16×
Vincent Delatour · 1×
Citations per year

Countries citing papers authored by N. W. Please

Since Specialization
Citations

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

Fields of papers citing papers by N. W. Please

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside N. W. Please, 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 N. W. Please Line = papers co-authored together N. W. Please links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1975131
2 1955120
3 196249
4 195445
5 197736
6 195735
7 196332
8 195923
9 195522
10 195121
11 195414
12 197012
13 197311
14 197110
15 19627
16 19523
17 19581
18 19571
19 19711

About N. W. Please

N. W. Please is a scholar working on Statistics and Probability, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 574 indexed citations. Recurring topics across this work include Diabetes Management and Research (2 papers), Advanced Statistical Methods and Models (2 papers), Iterative Methods for Nonlinear Equations (1 paper), Anesthesia and Neurotoxicity Research (1 paper), Pregnancy and Medication Impact (1 paper), Diabetes and associated disorders (1 paper), Pharmaceutical studies and practices (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Filtration and Separation (32 citations), Statistics and Probability (110 citations), Endocrinology, Diabetes and Metabolism (105 citations), Electrochemistry (20 citations) and Computational Mathematics (2 citations). N. W. Please has collaborated with scholars based in United Kingdom, Australia and Spain. Frequent co-authors include E. S. Pearson, J. Vallance‐Owen, Barbara Hurlock, R. Gnanadesikan, M. S. Bartlett, Russell Fraser, N. A. Samaan, W. J. Dempster, E. G. L. Bywaters and Pamela Snow. Their work appears in journals such as The Lancet, Biometrika, British Journal of Mathematical and Statistical Psychology, BJOG An International Journal of Obstetrics & Gynaecology and Reproduction.

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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