Philip Babij

4.3k total citations
37 papers, 3.4k citations indexed

About

Philip Babij is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Philip Babij has authored 37 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Philip Babij's work include Muscle Physiology and Disorders (7 papers), RNA Research and Splicing (6 papers) and Cardiomyopathy and Myosin Studies (5 papers). Philip Babij is often cited by papers focused on Muscle Physiology and Disorders (7 papers), RNA Research and Splicing (6 papers) and Cardiomyopathy and Myosin Studies (5 papers). Philip Babij collaborates with scholars based in United States, United Kingdom and Canada. Philip Babij's co-authors include Muthu Periasamy, Paul J. Yaworsky, Frederick J. Bex, Weiguang Zhao, Yogendra P. Kharode, John A. Robinson, Makoto Kuro‐o, R Nagai, Frank W. Booth and Robert R. Recker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

In The Last Decade

Philip Babij

37 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Babij United States 26 2.1k 531 526 517 501 37 3.4k
Masashi Isshiki Japan 17 2.7k 1.3× 1.2k 2.3× 391 0.7× 352 0.7× 404 0.8× 36 3.8k
Christina N. Bennett United States 15 3.6k 1.7× 619 1.2× 367 0.7× 308 0.6× 165 0.3× 17 5.0k
Noriyuki Namba Japan 28 2.8k 1.3× 1.0k 1.9× 185 0.4× 350 0.7× 367 0.7× 100 5.0k
Zhousheng Xiao United States 35 1.9k 0.9× 627 1.2× 193 0.4× 257 0.5× 348 0.7× 69 3.4k
R. Clay Bunn United States 28 1.2k 0.6× 434 0.8× 224 0.4× 578 1.1× 122 0.2× 46 2.6k
Shunsuke Uehara Japan 23 1.8k 0.8× 753 1.4× 157 0.3× 362 0.7× 315 0.6× 52 2.7k
Nahid Hemati United States 13 2.5k 1.2× 268 0.5× 299 0.6× 131 0.3× 200 0.4× 16 3.7k
Sutada Lotinun United States 32 2.2k 1.0× 993 1.9× 258 0.5× 849 1.6× 338 0.7× 70 3.8k
Kenneth Longo United States 19 3.1k 1.5× 431 0.8× 285 0.5× 243 0.5× 121 0.2× 31 4.7k

Countries citing papers authored by Philip Babij

Since Specialization
Citations

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

Fields of papers citing papers by Philip Babij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Babij

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Babij. A scholar is included among the top collaborators of Philip 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 Philip Babij. Philip Babij 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
1.
Beier, Eric E., Tzong‐Jen Sheu, Deborah Dang, et al.. (2015). Heavy Metal Ion Regulation of Gene Expression. Journal of Biological Chemistry. 290(29). 18216–18226. 30 indexed citations
2.
Jin, Hongting, Baoli Wang, Jia Li, et al.. (2014). Anti-DKK1 antibody promotes bone fracture healing through activation of β-catenin signaling. Bone. 71. 63–75. 75 indexed citations
3.
Roudier, Martine P., Xiaodong Li, Qing‐Tian Niu, et al.. (2012). Sclerostin is expressed in articular cartilage but loss or inhibition does not affect cartilage remodeling during aging or following mechanical injury. Arthritis & Rheumatism. 65(3). 721–731. 73 indexed citations
4.
5.
Han, Chun-Ya, Youping Wang, David Powers, et al.. (2009). Small molecules with potent osteogenic-inducing activity in osteoblast cells. Bioorganic & Medicinal Chemistry Letters. 19(5). 1442–1445. 25 indexed citations
6.
Babij, Philip, Martine P. Roudier, Chun-Ya Han, et al.. (2009). New Variants in the Enpp1 and Ptpn6 Genes Cause Low BMD, Crystal-Related Arthropathy, and Vascular Calcification. Journal of Bone and Mineral Research. 24(9). 1552–1564. 35 indexed citations
7.
Robinson, John A., Moitreyee Chatterjee‐Kishore, Paul J. Yaworsky, et al.. (2006). Wnt/β-Catenin Signaling Is a Normal Physiological Response to Mechanical Loading in Bone. Journal of Biological Chemistry. 281(42). 31720–31728. 412 indexed citations
8.
Akhter, M. P., Daniel Wells, Diane M. Cullen, et al.. (2004). Bone biomechanical properties in LRP5 mutant mice. Bone. 35(1). 162–169. 120 indexed citations
9.
Babij, Philip, George Psaltis, Di Song, et al.. (2003). “Blue heart”: characterization of a mifepristone-dependent system for conditional gene expression in genetically modified animals. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1627(1). 15–25. 7 indexed citations
10.
Killar, Loran M., Weiguang Zhao, Mei-Li Amy Sung, et al.. (2001). Postnatal expression in hyaline cartilage of constitutively active human collagenase-3 (MMP-13) induces osteoarthritis in mice. Journal of Clinical Investigation. 107(1). 35–44. 449 indexed citations
11.
Somasundaram, Chandra, et al.. (1995). A Novel Smooth Muscle-specific Enhancer Regulates Transcription of the Smooth Muscle Myosin Heavy Chain Gene in Vascular Smooth Muscle Cells. Journal of Biological Chemistry. 270(52). 30949–30957. 35 indexed citations
12.
Babij, Philip. (1993). Tissue-specific and developmentally regulated alternative splicing of a visceral isoform of smooth muscle myosin heavy chain. Nucleic Acids Research. 21(6). 1467–1471. 73 indexed citations
13.
Babij, Philip, Ji Zhao, Sheryl L. White, et al.. (1993). Smooth muscle myosin regulation by serum and cell density in cultured rat lung connective tissue cells. American Journal of Physiology-Lung Cellular and Molecular Physiology. 265(2). L127–L132. 15 indexed citations
14.
Hundal, Harinder S., Philip Babij, Peter M. Taylor, Peter Watt, & Michael J. Rennie. (1991). Effects of corticosteroid on the transport and metabolism of glutamine in rat skeletal muscle. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1092(3). 376–383. 26 indexed citations
15.
Babij, Philip & Muthu Periasamy. (1989). Myosin heavy chain isoform diversity in smooth muscle is produced by differential RNA processing. Journal of Molecular Biology. 210(3). 673–679. 164 indexed citations
16.
Babij, Philip, et al.. (1988). Sculpturing New Muscle Phenotypes. Physiology. 3(3). 100–102. 2 indexed citations
17.
Babij, Philip & Frank W. Booth. (1988). Biochemistry of Exercise. Sports Medicine. 5(3). 137–143. 3 indexed citations
18.
Babij, Philip & Frank W. Booth. (1988). Alpha-actin and cytochrome c mRNAs in atrophied adult rat skeletal muscle. American Journal of Physiology-Cell Physiology. 254(5). C651–C656. 54 indexed citations
19.
Rennie, M. J., et al.. (1983). Effects of acute hypoxia on forearm leucine metabolism.. PubMed. 136. 317–23. 22 indexed citations
20.
Babij, Philip, Slade Matthews, & M. J. Rennie. (1983). Changes in blood ammonia, lactate and amino acids in relation to workload during bicycle ergometer exercise in man. European Journal of Applied Physiology. 50(3). 405–411. 93 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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