Christopher B. Ballas

1.5k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Christopher B. Ballas is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Christopher B. Ballas has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Oncology. Recurrent topics in Christopher B. Ballas's work include Virus-based gene therapy research (3 papers), Mesenchymal stem cell research (3 papers) and Pluripotent Stem Cells Research (2 papers). Christopher B. Ballas is often cited by papers focused on Virus-based gene therapy research (3 papers), Mesenchymal stem cell research (3 papers) and Pluripotent Stem Cells Research (2 papers). Christopher B. Ballas collaborates with scholars based in United States, Greece and Canada. Christopher B. Ballas's co-authors include Jeffrey M. Davidson, Jeffrey S. Whitsitt, David E. Birk, Brigid L.M. Hogan, Lucy Liaw, Stanton L. Gerson, Steven P. Zielske, J.M. Davidson, Edward F. Srour and Sunil Badve and has published in prestigious journals such as Journal of Clinical Investigation, Nano Letters and The Journal of Immunology.

In The Last Decade

Christopher B. Ballas

15 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.

Altered wound healing in mice lacking a functional osteopontin gene (spp1).

1998 563 citations Lucy Liaw, David E. Birk et al. Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher B. Ballas United States	14	565	396	214	207	143	15	1.2k
Wojciech J. Grzesik United States	18	721 1.3×	424 1.1×	197 0.9×	196 0.9×	218 1.5×	26	1.7k
Dina Lewinson Israel	21	542 1.0×	291 0.7×	265 1.2×	195 0.9×	157 1.1×	60	1.3k
Agnes D. Berendsen United States	16	779 1.4×	340 0.9×	192 0.9×	207 1.0×	215 1.5×	21	1.5k
Junjun Jing China	26	997 1.8×	389 1.0×	197 0.9×	198 1.0×	144 1.0×	58	1.7k
Akihiro Hosoya Japan	24	827 1.5×	258 0.7×	109 0.5×	266 1.3×	126 0.9×	71	1.4k
Gary Gibson United States	16	711 1.3×	449 1.1×	117 0.5×	245 1.2×	221 1.5×	27	1.5k
Akitoshi Jikko Japan	18	481 0.9×	436 1.1×	88 0.4×	253 1.2×	198 1.4×	30	1.2k
Heinz Hausser Germany	20	795 1.4×	202 0.5×	183 0.9×	106 0.5×	143 1.0×	26	1.6k
Takeshi Moriishi Japan	22	1.2k 2.0×	285 0.7×	194 0.9×	384 1.9×	116 0.8×	42	1.7k
J M McPherson United States	15	810 1.4×	284 0.7×	125 0.6×	173 0.8×	260 1.8×	19	1.8k

Countries citing papers authored by Christopher B. Ballas

Since Specialization

Citations

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

Fields of papers citing papers by Christopher B. Ballas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher B. Ballas. 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 Christopher B. Ballas. The network helps show where Christopher B. Ballas may publish in the future.

Co-authorship network of co-authors of Christopher B. Ballas

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

All Works

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15 of 15 papers shown

Starr, Renate, Xin Yang, Yanyan Zhang, et al.. (2019). Massively-Parallelized, Deterministic Mechanoporation for Intracellular Delivery. Nano Letters. 20(2). 860–867. 52 indexed citations

Zhang, Yanyan, Christopher B. Ballas, & Masaru P. Rao. (2012). Towards ultrahigh throughput microinjection: MEMS-based massively-parallelized mechanoporation. PubMed. 2012. 594–7. 10 indexed citations

Bhat‐Nakshatri, Poornima, Hitesh Appaiah, Christopher B. Ballas, et al.. (2010). SLUG/SNAI2 and Tumor Necrosis Factor Generate Breast Cells With CD44+/CD24- Phenotype. BMC Cancer. 10(1). 411–411. 145 indexed citations

Case, Jamie, et al.. (2007). In vitro clonal analysis of murine pluripotent stem cells isolated from skeletal muscle and adipose stromal cells. Experimental Hematology. 36(2). 224–234. 19 indexed citations

Wen, Tao, Jing Yao, Scott Cooper, et al.. (2006). Enhanced Green Fluorescent Protein Is a Nearly Ideal Long-Term Expression Tracer for Hematopoietic Stem Cells, Whereas DsRed-Express Fluorescent Protein Is Not. Stem Cells. 25(3). 670–678. 47 indexed citations

Cornetta, Kenneth, et al.. (2005). Retroviral vector production in the National Gene Vector Laboratory at Indiana University. Gene Therapy. 12(S1). S28–S35. 14 indexed citations

Ballas, Christopher B., Steven P. Zielske, & Stanton L. Gerson. (2002). Adult bone marrow stem cells for cell and gene therapies: Implications for greater use. Journal of Cellular Biochemistry. 85(S38). 20–28. 87 indexed citations

Wadhwa, Punit D., et al.. (2002). Cancer Gene Therapy: Scientific Basis. Annual Review of Medicine. 53(1). 437–452. 47 indexed citations

Reese, Jane, et al.. (2001). MGMT Expression in Murine Bone Marrow Is a Major Determinant of Animal Survival After Alkylating Agent Exposure. Journal of Hematotherapy & Stem Cell Research. 10(1). 115–123. 18 indexed citations

10.

Ballas, Christopher B. & J.M. Davidson. (2001). Delayed wound healing in aged rats is associated with increased collagen gel remodeling and contraction by skin fibroblasts, not with differences in apoptotic or myofibroblast cell populations. Wound Repair and Regeneration. 9(3). 223–237. 62 indexed citations

11.

Davidson, Jeffrey M., et al.. (1999). Gene Therapy of Wounds with Growth Factors. Current topics in pathology. 93. 111–121. 22 indexed citations

12.

Liaw, Lucy, David E. Birk, Christopher B. Ballas, et al.. (1998). Altered wound healing in mice lacking a functional osteopontin gene (spp1).. Journal of Clinical Investigation. 101(7). 1468–1478. 563 indexed citations breakdown →

13.

Christodoulou, J, et al.. (1998). Autonomic cardiovascular neuropathy in Sjögren's syndrome. A controlled study.. PubMed. 25(12). 2385–8. 60 indexed citations

14.

Andonopoulos, Andrew P. & Christopher B. Ballas. (1995). Autonomic cardiovascular neuropathy in primary Sjogren's syndrome. Rheumatology International. 15(3). 127–129. 19 indexed citations

15.

Srour, Edward F., J Brandt, T Leemhuis, Christopher B. Ballas, & Ronald Hoffman. (1992). Relationship between cytokine-dependent cell cycle progression and MHC class II antigen expression by human CD34+ HLA-DR- bone marrow cells. The Journal of Immunology. 148(3). 815–820. 37 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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