Mariana Resnicoff

2.8k citations
34 papers · 2.3k indexed · h-index 23

Mariana Resnicoff

34 papers receiving 2.2k citations

Peers

Mariana Resnicoff
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cancer Research 601
  • Molecular Biology 1.5k
  • Oncology 455
  • Genetics 116
Replace Todd G. Kroll with:
Todd G. Kroll United States
Janel L. Kopp United States
Jane B. Clarke United States
Jerzy Trojan France
Adam Denley Australia
Michael Dews United States
J K Anderson United States
Mariwil G. Wong United States
Isamu Nishisho Japan
Suzanne Jordan United Kingdom
Mariana Resnicoff relative to Todd G. Kroll United States Todd G. Kroll's profile →
Citations per field
00.5×2.6×
Todd G. Kroll · 1×
Citations per year

Countries citing papers authored by Mariana Resnicoff

Since Specialization
Citations

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

Fields of papers citing papers by Mariana Resnicoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20025
2 199813
3 199843
4
Inhibition of tumorigenesis and induction of apoptosis in human tumor cells by the stable expression of a myristylated COOH terminus of the insulin-like growth factor I receptor.
199846
5 199755
6 199768
7 19976
8 199779
9 199640
10 199643
11
A soluble insulin-like growth factor I receptor that induces apoptosis of tumor cells in vivo and inhibits tumorigenesis.
1996143
12 199550
13 199443
14 19931
15 199214
16 199222
17 19916
18 19909
19 19893
20 19886

About Mariana Resnicoff

Mariana Resnicoff is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Virology, having authored 34 papers that have together received 2.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (21 papers), Cancer, Hypoxia, and Metabolism (11 papers), Metabolism, Diabetes, and Cancer (7 papers), Cancer Cells and Metastasis (4 papers), HIV Research and Treatment (3 papers), Cancer Research and Treatments (3 papers), Cancer-related Molecular Pathways (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Cancer Research (601 citations) and Molecular Biology (1.5k citations). Mariana Resnicoff has collaborated with scholars based in United States, Argentina and France. Frequent co-authors include Renato Baserga, R Rubin, Domenico Coppola, Christian Sell, David Abraham, Harris L. Rotman, Michele Rubini, Consuelo D'Ambrosio, Jean‐Luc Burgaud and Raphael Rubin.

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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