Michael P. Rettig

7.4k citations
122 papers · 3.6k · h-index 27

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Hematopoietic Stem Cell Transplantation 40
    • Acute Myeloid Leukemia Research 31
    • Multiple Myeloma Research and Treatments 24
    • CAR-T cell therapy research 28
    • Chemokine receptors and signaling 15

Michael P. Rettig

120 papers receiving 3.6k citations

Peers

Michael P. Rettig
Comparison fields: 5 of 114
  • Hematology 1.7k
  • Immunology 1.0k
  • Oncology 1.3k
  • Genetics 333
  • Physiology 419
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Citations per field
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Citations per year

Countries citing papers authored by Michael P. Rettig

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Rettig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Rettig. 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 Michael P. Rettig. The network helps show where Michael P. Rettig may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008388
2 2012310
3 2008273
4 2008236
5 2003205
6 2011147
7 2015141
8 2009136
9 2011108
10 2016107
11 199989
12 200888
13 201680
14 200274
15 202271
16 202069
17 201760
18 200753
19 201749
20 201738

About Michael P. Rettig

Michael P. Rettig is a scholar working on Hematology, Oncology, Immunology, Molecular Biology and Genetics, having authored 122 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (40 papers), Acute Myeloid Leukemia Research (31 papers), CAR-T cell therapy research (28 papers), Multiple Myeloma Research and Treatments (24 papers), Immunotherapy and Immune Responses (15 papers), Chemokine receptors and signaling (15 papers), Immune Cell Function and Interaction (12 papers) and Acute Lymphoblastic Leukemia research (9 papers). The work is most often cited by research in Hematology (1.7k citations), Immunology (1.0k citations), Oncology (1.3k citations), Genetics (333 citations) and Physiology (419 citations). Michael P. Rettig has collaborated with scholars based in United States, Australia and Thailand. Frequent co-authors include John F. DiPersio, Geoffrey L. Uy, Julie Ritchey, Ravi Vij, Peter Westervelt, Philip S. Low, Matthew Holt, Pablo Ramírez, Gary Bridger and Amanda F. Cashen. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Blood Advances, Leukemia and PLoS ONE.

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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