Pamela Waber

2.6k citations
30 papers · 2.2k indexed · 1 hit paper · h-index 19
Topics
Hemoglobinopathies and Related Disorders (7 papers)Neuroblastoma Research and Treatments (4 papers)Iron Metabolism and Disorders (4 papers)

In The Last Decade

Pamela Waber

30 papers receiving 2.1k citations

Hit Papers

Linkage of β-thalassaemia mutations and β-globin gene pol...19822026199620111982250500750

Peers

Pamela Waber
Comparison fields: 5 of 88
  • Genetics 1.0k
  • Molecular Biology 921
  • Hematology 785
  • Genetics 483
  • Oncology 230
Replace Deog‐Yeon Jo with:
Deog‐Yeon Jo South Korea
Holger Nückel Germany
N Lin United States
Ann Traynor United States
Alessandra Stacchini Italy
Shinji Kunishima Japan
Marcin W. Włodarski United States
Mary M. Kleppel United States
Peter Kießling Germany
Danielle Sainty France
Pamela Waber relative to Deog‐Yeon Jo South Korea Deog‐Yeon Jo's profile →
Citations per field
00.5×7.7×
Deog‐Yeon Jo · 1×
Citations per year

Countries citing papers authored by Pamela Waber

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Waber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Waber

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Waber. A scholar is included among the top collaborators of Pamela Waber 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 Pamela Waber. Pamela Waber 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 91
2 15
3 5
4 12
5 81
6 42
7 32
8 42
9 104
10 31
11 30
12
Infrequency of MDM2 gene amplification in pediatric solid tumors and lack of association with p53 mutations in adult squamous cell carcinomas.
37
13 2
14 6
15 2
16 35
17 80
18 5
19 59
20
Hemoglobin E in Europeans: further evidence for multiple origins of the beta E-globin gene.
43

About Pamela Waber

Pamela Waber is a scholar working on Genetics, Hematology and Genetics, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (7 papers), Neuroblastoma Research and Treatments (4 papers) and Iron Metabolism and Disorders (4 papers). The work is most often cited by research in Genetics (1.0k citations), Hematology (785 citations) and Genetics (483 citations). Pamela Waber has collaborated with scholars based in United States, Poland and Ireland. Frequent co-authors include Stylianos E. Antonarakis, Stuart H. Orkin, Sabra C. Goff, Julianne P. Sexton, Haig H. Kazazian, Corinne D. Boehm, Patricia J. Giardina, Perry D. Nisen, Mouin G. Seikaly and H H Kazazian. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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