Margot Haun

3.6k citations
39 papers · 1.0k indexed · h-index 21

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence

Papers in

Margot Haun

39 papers receiving 1.0k citations

Peers

Margot Haun
Comparison fields: 5 of 97
  • Aging 63
  • Physiology 276
  • Cancer Research 135
  • Oncology 214
  • Genetics 82
Replace Stephen I‐Hong Hsu with:
Stephen I‐Hong Hsu United States
Yoko Hirabayashi Japan
Yasuo Oshima Japan
Maarit Tiirikainen United States
Gary J. Smith United States
Jonathan M. Ducore United States
Tsuyoshi Honda Japan
Yumei Gu China
Akira Furusu Japan
María C. Izquierdo Spain
Margot Haun relative to Stephen I‐Hong Hsu United States Stephen I‐Hong Hsu's profile →
Citations per field
00.5×4.5×
Stephen I‐Hong Hsu · 1×
Citations per year

Countries citing papers authored by Margot Haun

Since Specialization
Citations

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

Fields of papers citing papers by Margot Haun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20231
3 202310
4 20208
5 201830
6 201518
7 201531
8 20146
9 201417
10 2014170
11 201323
12 20135
13 201234
14 200631
15 200428
16 200320
17 20026
18 200236
19 200096
20 199611

About Margot Haun

Margot Haun is a scholar working on Aging, Geriatrics and Gerontology, Hematology, Genetics and Transplantation, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Telomeres, Telomerase, and Senescence (5 papers), Genetic Associations and Epidemiology (4 papers), Medical Imaging and Pathology Studies (3 papers), Air Quality and Health Impacts (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). The work is most often cited by research in Aging (63 citations), Physiology (276 citations), Cancer Research (135 citations), Oncology (214 citations) and Genetics (82 citations). Margot Haun has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Florian Kronenberg, Julia Raschenberger, Kurt Grünewald, Michael Fiegl, Elisabeth Müller‐Holzner, Christian Marth, Johann Willeit, Siegfried Weger, Stefan Kiechl and K Grünewald. Their work appears in journals such as PLoS ONE, British Journal of Cancer, Atherosclerosis, Laboratory Investigation and Annals of Hematology.

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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