R.J. Arceci

1.6k citations
24 papers · 1.3k indexed · 1 hit paper · h-index 10
Topics
Drug Transport and Resistance Mechanisms (6 papers)T-cell and Retrovirus Studies (4 papers)Chronic Lymphocytic Leukemia Research (2 papers)

In The Last Decade

R.J. Arceci

24 papers receiving 1.3k citations

Hit Papers

Mouse GATA-4: a retinoic acid-inducible GATA-binding tran...19932026200420151993200400600

Peers

R.J. Arceci
Comparison fields: 5 of 86
  • Molecular Biology 848
  • Oncology 458
  • Genetics 217
  • Immunology 188
  • Surgery 149
Replace Valerie I. Brown with:
Valerie I. Brown United States
Laith Dabbagh Canada
Kumiko Goi Japan
Sally A. Hunsucker United States
Barbara A. Vance United States
Annabelle M. Friera United States
David R. Gibb United States
Naoki Watanabe Japan
Thomas P. Condon United States
Ladan Kobari France
R.J. Arceci relative to Valerie I. Brown United States Valerie I. Brown's profile →
Citations per field
00.5×5.7×
Valerie I. Brown · 1×
Citations per year

Countries citing papers authored by R.J. Arceci

Since Specialization
Citations

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

Fields of papers citing papers by R.J. Arceci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.J. Arceci. 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 R.J. Arceci. The network helps show where R.J. Arceci may publish in the future.

Co-authorship network of co-authors of R.J. Arceci

This figure shows the co-authorship network connecting the top 25 collaborators of R.J. Arceci. A scholar is included among the top collaborators of R.J. Arceci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R.J. Arceci. R.J. Arceci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 3
3 2
4 5
5 7
6 1
7
Conformational heterogeneity of P-glycoprotein.
4
8 3
9 85
10 34
11
P-glycoprotein mediates profound resistance to bisantrene.
25
12
Mouse GATA-4: a retinoic acid-inducible GATA-binding transcription factor expressed in endodermally derived tissues and heart.breakdown →
614
13 202
14 111
15 3
16 9
17 10
18 33
19 4
20 6

About R.J. Arceci

R.J. Arceci is a scholar working on Immunology, Oncology and Genetics, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (6 papers), T-cell and Retrovirus Studies (4 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Oncology (458 citations), Hematology (140 citations) and Molecular Biology (848 citations). R.J. Arceci has collaborated with scholars based in United States, Hungary and Belgium. Frequent co-authors include David B. Wilson, Stuart H. Orkin, Barbara E. Bierer, Kimberly A. Stieglitz, Kyri Dunussi‐Joannopoulos, Strom Tb, HJ Weinstein, Peter Nickerson, S J Burakoff and CM Niemeyer. Their work appears in journals such as Blood, Molecular and Cellular Biology and Calcified Tissue International.

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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