Leanne M. Wiedemann

11.9k citations
81 papers · 8.8k indexed · 3 hit papers · h-index 41

Leanne M. Wiedemann

80 papers receiving 8.7k citations

Hit Papers

PTEN maintains haematopoietic stem cells and acts in line...640200320262010201850010001.5k2.0k

Peers

Leanne M. Wiedemann
Comparison fields: 5 of 124
  • Hematology 3.3k
  • Genetics 2.0k
  • Oncology 1.9k
  • Immunology 1.4k
  • Molecular Biology 4.4k
Replace Annelies de Klein with:
Annelies de Klein Netherlands
John Groffen United States
Shimon Slavin Israel
Stefan K. Bohlander Germany
Bryan D. Young United Kingdom
Manuel O. Dı́az United States
Shelly Heimfeld United States
Mark J. Kiel United States
Nora Heisterkamp United States
Peter Besmer United States
Leanne M. Wiedemann relative to Annelies de Klein Netherlands Annelies de Klein's profile →
Citations per field
00.5×1.5×
Annelies de Klein · 1×
Citations per year

Countries citing papers authored by Leanne M. Wiedemann

Since Specialization
Citations

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

Fields of papers citing papers by Leanne M. Wiedemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leanne M. Wiedemann. 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 Leanne M. Wiedemann. The network helps show where Leanne M. Wiedemann may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201934
2 201510
3 201016
4 200643
5
PTEN maintains haematopoietic stem cells and acts in lineage choice and leukaemia preventionbreakdown →
2006640
6 200565
7
Identification of the haematopoietic stem cell niche and control of the niche sizebreakdown →
20032251
8 200243
9 19992
10 199868
11 199541
12 19929
13 19913
14 199116
15 199031
16 1989122
17 1989114
18 19883
19 19870
20 1984162

About Leanne M. Wiedemann

Leanne M. Wiedemann is a scholar working on Hematology, Genetics and Molecular Biology, having authored 81 papers that have together received 8.8k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (29 papers), Acute Myeloid Leukemia Research (20 papers), Chronic Lymphocytic Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (17 papers), Developmental Biology and Gene Regulation (11 papers), Genomics and Chromatin Dynamics (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Hematology (3.3k citations), Genetics (2.0k citations) and Oncology (1.9k citations). Leanne M. Wiedemann has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Linheng Li, Yuji Mishina, Jason Ross, Jiwang Zhang, Teri Johnson, Keith McCarthy, Jian Q. Feng, Xi He, Stephen E. Harris and Chao Niu. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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