Nancy B. McWilliams

2.8k citations
44 papers · 2.1k indexed · 2 hit papers · h-index 22
Topics
Neuroblastoma Research and Treatments (12 papers)Acute Lymphoblastic Leukemia research (6 papers)Cancer therapeutics and mechanisms (4 papers)

In The Last Decade

Nancy B. McWilliams

43 papers receiving 1.9k citations

Hit Papers

Excessive Insulin Response to Glucose in Obese Subjects a...196320261984200519631984100200300400

Peers

Nancy B. McWilliams
Comparison fields: 5 of 101
  • Molecular Biology 732
  • Neurology 727
  • Surgery 628
  • Endocrinology, Diabetes and Metabolism 431
  • Physiology 301
Replace Jean‐Louis Sadoul with:
Jean‐Louis Sadoul France
Takao Obara Japan
Yuji Hiromatsu Japan
Glen W. Sizemore United States
Meyer M. Melicow United States
W. R. Timperley United Kingdom
Tomasz Bednarczuk Poland
Masahide Yazaki Japan
Martin Weger Austria
Akira Kubota Japan
Nancy B. McWilliams relative to Jean‐Louis Sadoul France Jean‐Louis Sadoul's profile →
Citations per field
00.5×4.0×
Jean‐Louis Sadoul · 1×
Citations per year

Countries citing papers authored by Nancy B. McWilliams

Since Specialization
Citations

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

Fields of papers citing papers by Nancy B. McWilliams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy B. McWilliams. 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 Nancy B. McWilliams. The network helps show where Nancy B. McWilliams may publish in the future.

Co-authorship network of co-authors of Nancy B. McWilliams

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 32
3 18
4 57
5 22
6 86
7 46
8 27
9 23
10 102
11 1
12 1
13 42
14
Cellular DNA Content as a Predictor of Response to Chemotherapy in Infants with Unresectable Neuroblastomabreakdown →
375
15 13
16 3
17 37
18 29
19
Lymphoepithelioma in children
2
20 14

About Nancy B. McWilliams

Nancy B. McWilliams is a scholar working on Neurology, Hematology and Genetics, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (12 papers), Acute Lymphoblastic Leukemia research (6 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Neurology (727 citations), Endocrinology, Diabetes and Metabolism (431 citations) and Hematology (191 citations). Nancy B. McWilliams has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Gerold M. Grodsky, R Nitschke, John H. Karam, Peter H. Forsham, F. Ann Hayes, A. Thomas Look, Harold M. Maurer, Leslie L. Bennett, Adrienne A. Batts and E. Ide Smith. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

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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