Margaret Kasner

2.9k total citations
76 papers, 1.1k citations indexed

About

Margaret Kasner is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Margaret Kasner has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Hematology, 17 papers in Oncology and 15 papers in Molecular Biology. Recurrent topics in Margaret Kasner's work include Acute Myeloid Leukemia Research (29 papers), Hematopoietic Stem Cell Transplantation (23 papers) and Multiple Myeloma Research and Treatments (11 papers). Margaret Kasner is often cited by papers focused on Acute Myeloid Leukemia Research (29 papers), Hematopoietic Stem Cell Transplantation (23 papers) and Multiple Myeloma Research and Treatments (11 papers). Margaret Kasner collaborates with scholars based in United States, Germany and United Kingdom. Margaret Kasner's co-authors include Dirk Westermann, Carsten Tschöpe, Selina M. Luger, Martin Carroll, Neil Palmisiano, Anil K. Rustgi, Wolfgang Poller, Jennifer Oliver‐Krasinski, Michael F. Crutchlow and Juxiang Yang and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Margaret Kasner

62 papers receiving 1.1k citations

Peers

Margaret Kasner
Comparison fields: 5 of 75
  • Hematology 370
  • Molecular Biology 368
  • Cardiology and Cardiovascular Medicine 310
  • Surgery 184
  • Oncology 170
Replace Masahiro Hirayama with:
Masahiro Hirayama Japan
Takahito Moriyama Japan
Grace M. Thomas United States
Julia Barbara Kral Austria
J M Freyssinet France
B. Hugel France
Lisa Gallinaro Italy
Harold C. Sullivan United States
Matthieu Rousseau Canada
Patricia Molina Spain
Masahiro Hirayama Japan View profile →
Citations per field, relative to Margaret Kasner
Margaret Kasner · 1×
Citations per year, relative to Margaret Kasner
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Countries citing papers authored by Margaret Kasner

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Kasner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Kasner

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Kasner. A scholar is included among the top collaborators of Margaret Kasner 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 Margaret Kasner. Margaret Kasner 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
# Work Indexed citations
1 0
2 0
3 2
4 0
5 4
6 3
7 3
8 2
9 6
10 6
11 17
12 1
13 1
14 1
15 1
16 1
17 21
18 44
19 9
20 21

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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