RC Moen

553 citations
7 papers · 490 · h-index 4

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Virus-based gene therapy research

Papers in

    • Hematopoietic Stem Cell Transplantation 3
    • Immunodeficiency and Autoimmune Disorders 3

RC Moen

7 papers receiving 461 citations

Peers

RC Moen
Comparison fields: 5 of 38
  • Hematology 140
  • Genetics 315
  • Immunology 122
  • Oncology 146
  • Genetics 46
Replace Kim Lawrence with:
Kim Lawrence United States
HP Kiem United States
Christophe Ferrand France
David L. Porter United States
Liesl Mathias United States
S Gisselbrecht France
Helen E. Heslop United States
Maya T. Nimgaonkar United States
Hans-Peter Kiem United States
Grady H. Shelton United States
RC Moen relative to Kim Lawrence United States Kim Lawrence's profile →
Citations per field
00.5×1.5×
Kim Lawrence · 1×
Citations per year

Countries citing papers authored by RC Moen

Since Specialization
Citations

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

Fields of papers citing papers by RC Moen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside RC Moen, 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 RC Moen Line = papers co-authored together RC Moen links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1995427
2 198743
3
Thymus and B cell reconstitution in severe combined immunodeficiency after transplantation of monoclonal antibody depleted parental mismatched bone marrow.
19878
4
Directions in gene therapy.
19916
5 19874
6
Modification of the sponge allograft model to study the immune response to bone marrow cells.
19871
7 19931

About RC Moen

RC Moen is a scholar working on Hematology, Immunology, Genetics, Epidemiology and Cell Biology, having authored 7 papers that have together received 490 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Virus-based gene therapy research (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Animal Genetics and Reproduction (1 paper), Proteoglycans and glycosaminoglycans research (1 paper), RNA Interference and Gene Delivery (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Hematology (140 citations), Genetics (315 citations), Immunology (122 citations), Oncology (146 citations) and Genetics (46 citations). RC Moen has collaborated with scholars based in United States. Frequent co-authors include FM Stewart, Michele Cottler‐Fox, SANDRA DOREN, Joyce O’Shaughnessy, Jay J. Greenblatt, RONALD J. BERENSON, Cynthia E. Dunbar, ME Trigg, Robert Hong and Sondel Pm. Their work appears in journals such as Blood and PubMed.

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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