Gary D. Botimer

747 total citations
8 papers, 512 citations indexed

About

Gary D. Botimer is a scholar working on Molecular Biology, Surgery and Biomaterials. According to data from OpenAlex, Gary D. Botimer has authored 8 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Surgery and 1 paper in Biomaterials. Recurrent topics in Gary D. Botimer's work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (5 papers) and RNA Interference and Gene Delivery (4 papers). Gary D. Botimer is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (5 papers) and RNA Interference and Gene Delivery (4 papers). Gary D. Botimer collaborates with scholars based in United States, China and United Kingdom. Gary D. Botimer's co-authors include Jianping Zhang, Tao Cheng, Wei Wen, Xiaolan Li, Wanqiu Chen, Cameron Arakaki, Ya-Wen Fu, David J. Baylink, Xiao‐Bing Zhang and Lu Zhang and has published in prestigious journals such as Nucleic Acids Research, ACS Applied Materials & Interfaces and Genome biology.

In The Last Decade

Gary D. Botimer

8 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary D. Botimer United States 7 427 120 50 44 43 8 512
Waracharee Srifa United States 8 386 0.9× 164 1.4× 33 0.7× 24 0.5× 21 0.5× 9 539
B.M. Wile United States 7 605 1.4× 107 0.9× 41 0.8× 62 1.4× 47 1.1× 7 651
Malathi Chellappan United States 6 438 1.0× 51 0.4× 79 1.6× 98 2.2× 15 0.3× 6 564
Mu‐Nung Hsu Taiwan 13 401 0.9× 97 0.8× 60 1.2× 113 2.6× 14 0.3× 16 574
Hiroki Ueda Japan 11 720 1.7× 71 0.6× 70 1.4× 50 1.1× 19 0.4× 27 877
Hadi Bayat Iran 14 381 0.9× 116 1.0× 30 0.6× 27 0.6× 9 0.2× 32 541
Mei‐Wei Lin Taiwan 11 294 0.7× 75 0.6× 19 0.4× 85 1.9× 11 0.3× 16 411
Merry Z. C. Ruan United States 9 282 0.7× 101 0.8× 130 2.6× 36 0.8× 17 0.4× 15 603
Mehmet Fatih Bolukbasi United States 7 790 1.9× 71 0.6× 9 0.2× 55 1.3× 33 0.8× 7 820
Chunlai Tan Hong Kong 7 259 0.6× 80 0.7× 69 1.4× 10 0.2× 17 0.4× 7 377

Countries citing papers authored by Gary D. Botimer

Since Specialization
Citations

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

Fields of papers citing papers by Gary D. Botimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary D. Botimer. 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 Gary D. Botimer. The network helps show where Gary D. Botimer may publish in the future.

Co-authorship network of co-authors of Gary D. Botimer

This figure shows the co-authorship network connecting the top 25 collaborators of Gary D. Botimer. A scholar is included among the top collaborators of Gary D. Botimer 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 Gary D. Botimer. Gary D. Botimer 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.
İnceoğlu, Serkan, et al.. (2020). Novel microcomposite implant for the controlled delivery of antibiotics in the treatment of osteomyelitis following total joint replacement. Journal of Orthopaedic Research®. 39(2). 365–375. 8 indexed citations
2.
Wen, Wei, Xinxin Cheng, Ya-Wen Fu, et al.. (2018). High-Level Precise Knockin of iPSCs by Simultaneous Reprogramming and Genome Editing of Human Peripheral Blood Mononuclear Cells. Stem Cell Reports. 10(6). 1821–1834. 17 indexed citations
3.
Li, Xiaolan, Guohua Li, Juan Fu, et al.. (2018). Highly efficient genome editing via CRISPR–Cas9 in human pluripotent stem cells is achieved by transient BCL-XL overexpression. Nucleic Acids Research. 46(19). 10195–10215. 80 indexed citations
4.
Wen, Wei, Jianping Zhang, Wanqiu Chen, et al.. (2017). Generation of Integration-free Induced Pluripotent Stem Cells from Human Peripheral Blood Mononuclear Cells Using Episomal Vectors. Journal of Visualized Experiments. 12 indexed citations
5.
Zhang, Jianping, Xiaolan Li, Guohua Li, et al.. (2017). Efficient precise knockin with a double cut HDR donor after CRISPR/Cas9-mediated double-stranded DNA cleavage. Genome biology. 18(1). 35–35. 327 indexed citations
6.
Cipriano, Aaron F., Jiajia Lin, Amy Sallee, et al.. (2017). Degradation of Bioresorbable Mg–4Zn–1Sr Intramedullary Pins and Associated Biological Responses in Vitro and in Vivo. ACS Applied Materials & Interfaces. 9(51). 44332–44355. 36 indexed citations
7.
Zhang, Jianping, Wanqiu Chen, Cameron Arakaki, et al.. (2017). Generation of Integration-free Induced Pluripotent Stem Cells from Human Peripheral Blood Mononuclear Cells Using Episomal Vectors. Journal of Visualized Experiments. 5 indexed citations
8.
Patel, Shalin S., Wilson Aruni, Serkan İnceoğlu, et al.. (2016). A comparison of Staphylococcus aureus biofilm formation on cobalt-chrome and titanium-alloy spinal implants. Journal of Clinical Neuroscience. 31. 219–223. 27 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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