Vicki Ling

1.9k citations
27 papers · 1.2k · 1 hit paper · h-index 12

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Cancer Genomics and Diagnostics

Papers in

Vicki Ling

26 papers receiving 1.2k citations

Vicki Ling's Hit Papers

Stem cell gene expression programs influence clinical outcome in human leukemia 2011 · 740 citations
7400+5+10Years since publication200400600

Peers

Vicki Ling
Comparison fields: 5 of 109
  • Hematology 435
  • Cancer Research 204
  • Oncology 242
  • Molecular Biology 529
  • Genetics 79
Replace Jin Lu with:
Jin Lu China
Timothy Chevassut United Kingdom
Manfred Mitterer Italy
N. L. Fox United States
Jennifer M. P. Woo United States
Jennifer T. Loud United States
Anders Castor Sweden
Ros Hastings United Kingdom
Steven Lau United States
Lars Holmberg Sweden
Vicki Ling relative to Jin Lu China Jin Lu's profile →
Citations per field
00.5×1.5×1.9×
Jin Lu · 1×
Citations per year

Countries citing papers authored by Vicki Ling

Since Specialization
Citations

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

Fields of papers citing papers by Vicki Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vicki Ling, 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 Vicki Ling Line = papers co-authored together Vicki Ling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Stem cell gene expression programs influence clinical outcome in human leukemia
Hit paper breakdown →
2011740
2 2009109
3 200871
4 201947
5 201633
6 201725
7 201921
8 202218
9 202017
10 201216
11 202114
12 201912
13 201711
14 202010
15 202010
16 20196
17 20216
18 20236
19 20235
20
Paroxysmal nocturnal hemoglobinuria: new insights from murine Pig-a-deficient hematopoiesis.
19973

About Vicki Ling

Vicki Ling is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Economics and Econometrics, Surgery and Pathology and Forensic Medicine, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Healthcare Policy and Management (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Healthcare Systems and Technology (3 papers), Multiple Sclerosis Research Studies (3 papers), Food Security and Health in Diverse Populations (2 papers), Opioid Use Disorder Treatment (2 papers), Innovations in Medical Education (2 papers) and Primary Care and Health Outcomes (2 papers). The work is most often cited by research in Hematology (435 citations), Cancer Research (204 citations), Oncology (242 citations), Molecular Biology (529 citations) and Genetics (79 citations). Vicki Ling has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Joseph Beyene, Björn Nilsson, Jayne S. Danska, Mark D. Minden, Peter van Galen, John E. Dick, Angelo J. Canty, Christian Buske, Benjamin L. Ebert and Katsuto Takenaka. Their work appears in journals such as Diabetic Medicine, The Journal of Rheumatology, Multiple Sclerosis and Related Disorders, Nature Medicine and BMJ Open.

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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