Robert Babb

3.3k total citations
8 papers, 528 citations indexed

About

Robert Babb is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Robert Babb has authored 8 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Robert Babb's work include Genetic Associations and Epidemiology (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Robert Babb is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Robert Babb collaborates with scholars based in United States and Switzerland. Robert Babb's co-authors include Winship Herr, Michele A. Cleary, Laura Kasch, Paula Wolyniec, Stylianos E. Antonarakis, Ann E. Pulver, Jürg Ott, Gerald Nestadt, Deborah A. Meyers and David E. Housman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Robert Babb

8 papers receiving 513 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Babb United States 8 198 177 162 66 54 8 528
Azusa Okaniwa Japan 10 95 0.5× 101 0.6× 79 0.5× 85 1.3× 24 0.4× 65 393
Reshma Patel United States 15 310 1.6× 113 0.6× 100 0.6× 27 0.4× 56 1.0× 27 699
Amy Brideau-Andersen United States 7 250 1.3× 74 0.4× 56 0.3× 55 0.8× 55 1.0× 20 418
Sandra Verhaagh Netherlands 10 264 1.3× 298 1.7× 106 0.7× 16 0.2× 64 1.2× 11 583
Huijun Liu China 10 131 0.7× 24 0.1× 111 0.7× 54 0.8× 60 1.1× 26 355
Pei-Yu Chu Taiwan 8 126 0.6× 53 0.3× 82 0.5× 26 0.4× 11 0.2× 11 336
C S Flordellis United States 11 293 1.5× 99 0.6× 15 0.1× 80 1.2× 48 0.9× 15 445
Cheng‐Pu Sun Taiwan 14 303 1.5× 44 0.2× 123 0.8× 18 0.3× 57 1.1× 24 614
Weixing Yang United States 7 162 0.8× 34 0.2× 124 0.8× 26 0.4× 64 1.2× 8 420
Rolando Cuevas United States 14 340 1.7× 97 0.5× 70 0.4× 32 0.5× 199 3.7× 27 722

Countries citing papers authored by Robert Babb

Since Specialization
Citations

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

Fields of papers citing papers by Robert Babb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Babb

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

All Works

8 of 8 papers shown
1.
DaSilva, John O., Andrés E. Perez Bay, Julian Andreev, et al.. (2019). A Biparatopic Antibody That Modulates MET Trafficking Exhibits Enhanced Efficacy Compared with Parental Antibodies in MET-Driven Tumor Models. Clinical Cancer Research. 26(6). 1408–1419. 23 indexed citations
2.
Pascal, Kristen E., Christopher M. Coleman, Alejandro O. Mujica, et al.. (2015). Pre- and postexposure efficacy of fully human antibodies against Spike protein in a novel humanized mouse model of MERS-CoV infection. Proceedings of the National Academy of Sciences. 112(28). 8738–8743. 172 indexed citations
3.
Babb, Robert & Benjamin R. Bowen. (2003). SDP1 is a peroxisome-proliferator-activated receptor gamma2 co-activator that binds through its SCAN domain. Biochemical Journal. 370(2). 719–727. 14 indexed citations
4.
Yang, Zhenyu, James Whelan, Robert Babb, & Benjamin R. Bowen. (2002). An mRNA Splice Variant of the AFX Gene with Altered Transcriptional Activity. Journal of Biological Chemistry. 277(10). 8068–8075. 20 indexed citations
5.
Babb, Robert, et al.. (2001). DNA Recognition by the Herpes Simplex Virus Transactivator VP16: a Novel DNA-Binding Structure. Molecular and Cellular Biology. 21(14). 4700–4712. 29 indexed citations
6.
Babb, Robert, Michele A. Cleary, & Winship Herr. (1997). OCA-B Is a Functional Analog of VP16 but Targets a Separate Surface of the Oct-1 POU Domain. Molecular and Cellular Biology. 17(12). 7295–7305. 50 indexed citations
7.
Pulver, Ann E., Virginia K. Lasseter, Laura Kasch, et al.. (1995). Schizophrenia: A genome scan targets chromosomes 3p and 8p as potential sites of susceptibility genes. American Journal of Medical Genetics. 60(3). 252–260. 202 indexed citations
8.
Karayiorgou, Maria, Laura Kasch, Virginia K. Lasseter, et al.. (1994). Report from the Maryland epidemiology schizophrenia linkage study: No evidence for linkage between schizophrenia and a number of candidate and other genomic regions using a complex dominant model. American Journal of Medical Genetics. 54(4). 345–353. 18 indexed citations

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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