Carol Babij

1.4k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Carol Babij is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Carol Babij has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Carol Babij's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Melanoma and MAPK Pathways (6 papers) and HER2/EGFR in Cancer Research (2 papers). Carol Babij is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Melanoma and MAPK Pathways (6 papers) and HER2/EGFR in Cancer Research (2 papers). Carol Babij collaborates with scholars based in United States, United Kingdom and China. Carol Babij's co-authors include Lee L. Rubin, Jonathan Ham, Jonathan R. Whitfield, Moshé Yaniv, Curt M. Pfarr, Dominique Lallemand, Andreas Eilers, Josette Carnahan, Manory Fernando and Quynh‐Thu Le and has published in prestigious journals such as Neuron, Journal of Neuroscience and Cancer Research.

In The Last Decade

Carol Babij

9 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A c-jun dominant negative mutant protects sympathetic neurons against programmed cell death

1995 725 citations Jonathan Ham, Carol Babij et al. Neuron profile →

Peers

Carol Babij

MB

CMN

ONCOL

CR

OC

Ute Zirrgiebel Germany

Gary Weisinger Israel

Masami Kaneko Japan

James P. Finn United States

Camille Brochier United States

Núria Llecha Spain

Lorraine Morlock United States

Birgit Mosch Germany

Irene Griswold‐Prenner United States

Guriqbal S. Basi United States

Ute Zirrgiebel Germany

Carol Babij

717 ×0.8

MB

336 ×0.8

CMN

292 ×1.6

ONCOL

170 ×1.3

CR

158 ×1.7

OC

Citations per year, relative to Carol Babij Carol Babij (= 1×) peers Ute Zirrgiebel

Countries citing papers authored by Carol Babij

Since Specialization

Citations

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

Fields of papers citing papers by Carol Babij

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Babij

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Babij. A scholar is included among the top collaborators of Carol Babij 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 Carol Babij. Carol Babij is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Liu, Longbin, Matthew R. Lee, Joseph L. Kim, et al.. (2016). Purinylpyridinylamino-based DFG-in/αC-helix-out B-Raf inhibitors: Applying mutant versus wild-type B-Raf selectivity indices for compound profiling. Bioorganic & Medicinal Chemistry. 24(10). 2215–2234. 13 indexed citations

2.

Zhang, Yihong, Robert J. Kurzeja, James Zondlo, et al.. (2011). Abstract 253: Identification of STK33 kinase inhibitors for the validation of a synthetic lethal relationship between STK33 and mutant KRAS. Cancer Research. 71(8_Supplement). 253–253. 1 indexed citations

3.

Dussault, Isabelle, Josette Carnahan, Carol Babij, et al.. (2011). STK33 Kinase Is Not Essential in KRAS-Dependent Cells–Response. Cancer Research. 71(24). 7717–7717. 2 indexed citations

4.

Carnahan, Josette, Pedro J. Beltran, Carol Babij, et al.. (2010). Selective and Potent Raf Inhibitors Paradoxically Stimulate Normal Cell Proliferation and Tumor Growth. Molecular Cancer Therapeutics. 9(8). 2399–2410. 58 indexed citations

5.

Carnahan, Josette, Pedro J. Beltran, Carol Babij, et al.. (2010). Abstract 21: Selective and potent inhibitors of the mutant B-Raf pathway paradoxically stimulate the MAPK pathway in wild-type B-Raf cells. Cancer Research. 70(8_Supplement). 21–21. 2 indexed citations

6.

Smith, Adrian L., Nick A. Paras, Qi Huang, et al.. (2009). Selective Inhibitors of the Mutant B-Raf Pathway: Discovery of a Potent and Orally Bioavailable Aminoisoquinoline. Journal of Medicinal Chemistry. 52(20). 6189–6192. 90 indexed citations

7.

Parker, Eric M., Angela Monopoli, Ennio Ongini, Gianluca Lozza, & Carol Babij. (2000). Rapamycin, but not FK506 and GPI-1046, increases neurite outgrowth in PC12 cells by inhibiting cell cycle progression. Neuropharmacology. 39(10). 1913–1919. 35 indexed citations

8.

Eilers, Andreas, Jonathan R. Whitfield, Carol Babij, Lee L. Rubin, & Jonathan Ham. (1998). Role of the Jun Kinase Pathway in the Regulation of c-Jun Expression and Apoptosis in Sympathetic Neurons. Journal of Neuroscience. 18(5). 1713–1724. 261 indexed citations

9.

Ham, Jonathan, Carol Babij, Jonathan R. Whitfield, et al.. (1995). A c-jun dominant negative mutant protects sympathetic neurons against programmed cell death. Neuron. 14(5). 927–939. 725 indexed citations breakdown →

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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