LS Steelman

573 citations
20 papers · 519 · h-index 12

Impact in

Papers in

    • RNA Interference and Gene Delivery 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • RNA Research and Splicing 2
    • Immune Cell Function and Interaction 5
    • Immune Response and Inflammation 5

LS Steelman

20 papers receiving 503 citations

Peers

LS Steelman
Comparison fields: 5 of 49
  • Oncology 197
  • Cancer Research 77
  • Molecular Biology 365
  • Endocrinology, Diabetes and Metabolism 66
  • Hematology 44
Replace Takao Yamori with:
Takao Yamori Japan
Stephen Hillerman United States
Victoria Rimkunas United States
Keiko Mita Japan
K Fudge United States
Isabel Conde Spain
Marion Conn United States
Michael W. Potter United States
Yoshiaki Nakashima Japan
Sonal J. Desai United States
LS Steelman relative to Takao Yamori Japan Takao Yamori's profile →
Citations per field
00.5×3.7×
Takao Yamori · 1×
Citations per year

Countries citing papers authored by LS Steelman

Since Specialization
Citations

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

Fields of papers citing papers by LS Steelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside LS Steelman, 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 LS Steelman Line = papers co-authored together LS Steelman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1991106
2 199888
3
Role of the Raf signal transduction cascade in the in vitro resistance to the anticancer drug doxorubicin.
200175
4 200040
5
Oncogenic effects of overexpression of the interleukin-3 receptor on hematopoietic cells.
199635
6 198928
7 199425
8 199023
9 200021
10 199517
11 199517
12 199414
13 20019
14 19959
15 19903
16 19913
17 19942
18 19952
19 19911
20 19941

About LS Steelman

LS Steelman is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Genetics, having authored 20 papers that have together received 519 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Virus-based gene therapy research (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), RNA Interference and Gene Delivery (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Oncology (197 citations), Cancer Research (77 citations), Molecular Biology (365 citations), Endocrinology, Diabetes and Metabolism (66 citations) and Hematology (44 citations). LS Steelman has collaborated with scholars based in United States, Italy and Chile. Frequent co-authors include James A. McCubrey, William L. Blalock, Martin McMahon, Richard A. Franklin, Caroline Weinstein‐Oppenheimer, Michael Kaleko, Elizabeth Bosch, Holly Cherwinski, P A Algate and Julianne M. Davis. Their work appears in journals such as Blood, Leukemia, Oncology Reports, International Journal of Oncology and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact