Steven Rakar

1.6k citations
17 papers · 1.2k · h-index 12

Impact in

  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions
  • Immunology top 5%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Reproductive System and Pregnancy
    • Immune Response and Inflammation

Papers in

    • Cytokine Signaling Pathways and Interactions 10
    • Reproductive System and Pregnancy 3
    • Immune Cell Function and Interaction 2
    • interferon and immune responses 2

Steven Rakar

17 papers receiving 1.1k citations

Peers

Steven Rakar
Comparison fields: 5 of 81
  • Oncology 760
  • Immunology 558
  • Pharmacology 159
  • Cancer Research 136
  • Molecular Biology 475
Replace Takuya Ohtani with:
Takuya Ohtani United States
Kazuto Nakae Japan
A.‐C. Andres Switzerland
Kanta Miyoshi Japan
Phyllis Harbor United States
Aleata A. Triplett United States
Ladina Di Rago Australia
Michinari Hirata Japan
Thamar B. van Dijk Netherlands
Kevin Roarty United States
Steven Rakar relative to Takuya Ohtani United States Takuya Ohtani's profile →
Citations per field
00.5×2.6×
Takuya Ohtani · 1×
Citations per year

Countries citing papers authored by Steven Rakar

Since Specialization
Citations

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

Fields of papers citing papers by Steven Rakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2001257
2 1994232
3 2001128
4 2002128
5 1996115
6 199967
7 200751
8 200448
9 200548
10 200540
11 199217
12 201715
13 19927
14 19937
15
Overexpression of C-FMS in the myeloid cell line FDC-P1 induces transformation that dissociates M-CSF-induced proliferation and differentiation.
19956
16 19955
17 19953

About Steven Rakar

Steven Rakar is a scholar working on Oncology, Immunology, Molecular Biology, Immunology and Allergy and Pharmacology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (10 papers), Cell Adhesion Molecules Research (4 papers), Reproductive System and Pregnancy (3 papers), Immune Cell Function and Interaction (2 papers), interferon and immune responses (2 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Oncology (760 citations), Immunology (558 citations), Pharmacology (159 citations), Cancer Research (136 citations) and Molecular Biology (475 citations). Steven Rakar has collaborated with scholars based in Australia, Sweden and Germany. Frequent co-authors include Douglas J. Hilton, Nicos A. Nicola, Warren S. Alexander, Donald Metcalf, Tracy A. Willson, Andrew W. Roberts, Lynne Hartley, Lorraine Robb, Leonie A. Cluse and N M Gough. Their work appears in journals such as Proceedings of the National Academy of Sciences, Mammalian Genome, Genomics, Stem Cells and Blood.

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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