CL Reading

949 citations
15 papers · 792 indexed · h-index 11

CL Reading

15 papers receiving 756 citations

Peers

CL Reading
Comparison fields: 5 of 49
  • Hematology 542
  • Genetics 114
  • Immunology 156
  • Genetics 182
  • Public Health, Environmental and Occupational Health 175
Replace Marina Lafage with:
Marina Lafage France
K Wagner United States
JH Kersey United States
JE Curtis Canada
Eva Hellström-Lindberg Sweden
PL Greenberg United States
Wendy Ingram United Kingdom
IC Slaper-Cortenbach Netherlands
Sylvie Ramond France
CL Reading relative to Marina Lafage France Marina Lafage's profile →
Citations per field
00.5×
Marina Lafage · 1×
Citations per year

Countries citing papers authored by CL Reading

Since Specialization
Citations

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

Fields of papers citing papers by CL Reading

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 199669
2 1993139
3 1993127
4 199277
5 199278
6 199254
7 1992120
8 19902
9 199043
10
Analysis of peripheral blood granulocyte-macrophage colony growth by limiting dilution assay.
19893
11
A monoclonal antibody cocktail for detection of micrometastatic tumor cells in the bone marrow of breast cancer patients.
198910
12 198714
13 19874
14
The role of autologous bone marrow transplantation in various malignancies.
198432
15
In vivo and in vitro production and detection of monoclonal antibodies to surface components on metastatic variants of murine tumor cells.
198120

About CL Reading

CL Reading is a scholar working on Hematology, Complementary and alternative medicine, Oncology, Immunology and Allergy and Immunology, having authored 15 papers that have together received 792 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Acute Myeloid Leukemia Research (3 papers), Retinoids in leukemia and cellular processes (3 papers), Virus-based gene therapy research (2 papers), Cancer therapeutics and mechanisms (2 papers), Immune Response and Inflammation (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (542 citations), Genetics (114 citations), Immunology (156 citations), Genetics (182 citations) and Public Health, Environmental and Occupational Health (175 citations). CL Reading has collaborated with scholars based in United States and Japan. Frequent co-authors include AB Deisseroth, YO Huh, David F. Claxton, KA Moore, DE Williams, Leon W.M.M. Terstappen, EH Estey, Szilvia Baron, Elihu H. Estey and José M. Trujillo. 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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