Mark C. Lanasa

4.4k citations
76 papers · 2.2k · h-index 27

Impact in

  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research
  • Immunology top 5%
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction

Papers in

    • Chronic Lymphocytic Leukemia Research 48
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 6
    • Immunodeficiency and Autoimmune Disorders 23

Mark C. Lanasa

74 papers receiving 2.2k citations

Peers

Mark C. Lanasa
Comparison fields: 5 of 87
  • Genetics 812
  • Immunology 907
  • Pathology and Forensic Medicine 633
  • Oncology 830
  • Reproductive Medicine 142
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S Dirnhofer Switzerland
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Jeffrey Swensen United States
Larissa V. Furtado United States
Todd W. Kelley United States
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M. L. Hansmann Germany
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Michelle Francesco United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark C. Lanasa

Since Specialization
Citations

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

Fields of papers citing papers by Mark C. Lanasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark C. Lanasa. 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 Mark C. Lanasa. The network helps show where Mark C. Lanasa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021149
2 2010136
3 2012135
4 2018111
5 2003102
6 2011101
7 1997100
8 201980
9 201070
10 201367
11 202063
12 201963
13 199952
14 200949
15 200148
16 201848
17 201748
18 201941
19 201539
20 201937

About Mark C. Lanasa

Mark C. Lanasa is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 76 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (48 papers), Lymphoma Diagnosis and Treatment (28 papers), Immunodeficiency and Autoimmune Disorders (23 papers), Cancer Immunotherapy and Biomarkers (10 papers), PARP inhibition in cancer therapy (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers) and Advanced Breast Cancer Therapies (6 papers). The work is most often cited by research in Genetics (812 citations), Immunology (907 citations), Pathology and Forensic Medicine (633 citations), Oncology (830 citations) and Reproductive Medicine (142 citations). Mark C. Lanasa has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include W. Allen Hogge, Tait D. Shanafelt, J. Brice Weinberg, Urvashi Surti, Paolo Ghia, Andy C. Rawstron, Eric P. Hoffman, Ola Landgren, Jon P. Gockerman and Alicia D. Volkheimer. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia, Annals of Oncology and American Journal of Obstetrics and Gynecology.

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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