Daniel Gibson

877 total citations
22 papers, 626 citations indexed

About

Daniel Gibson is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Daniel Gibson has authored 22 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Genetics. Recurrent topics in Daniel Gibson's work include Hematopoietic Stem Cell Transplantation (5 papers), Mesenchymal stem cell research (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). Daniel Gibson is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), Mesenchymal stem cell research (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). Daniel Gibson collaborates with scholars based in United States, United Kingdom and Spain. Daniel Gibson's co-authors include Le Ma, Jeffrey Milbrandt, Aaron DiAntonio, Daniel W. Summers, Lingfeng Yang, Vladlen Koltun, Jerry O. Talton, Pat Hanrahan, Julie L. Lefebvre and Alain Chédotal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and The Journal of Experimental Medicine.

In The Last Decade

Daniel Gibson

21 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Gibson United States 11 216 196 113 77 65 22 626
Guo Li China 17 231 1.1× 181 0.9× 54 0.5× 35 0.5× 87 1.3× 57 837
Malcolm Casale United States 13 436 2.0× 537 2.7× 81 0.7× 88 1.1× 18 0.3× 19 1.1k
Baoquan Zhao China 18 245 1.1× 25 0.1× 66 0.6× 15 0.2× 159 2.4× 72 877
Chang Yu United States 8 106 0.5× 139 0.7× 27 0.2× 21 0.3× 28 0.4× 9 300
Junwon Lee South Korea 22 420 1.9× 88 0.4× 34 0.3× 7 0.1× 18 0.3× 87 1.2k
Han Yan China 5 303 1.4× 95 0.5× 109 1.0× 40 0.5× 6 0.1× 12 806
Marco Righi Italy 18 376 1.7× 86 0.4× 48 0.4× 27 0.4× 33 0.5× 44 974
Mu Su China 14 488 2.3× 210 1.1× 38 0.3× 113 1.5× 49 0.8× 46 1.0k
Guang Shi China 20 750 3.5× 199 1.0× 45 0.4× 27 0.4× 3 0.0× 50 1.2k
Hong Wan China 11 763 3.5× 684 3.5× 402 3.6× 66 0.9× 38 0.6× 57 1.4k

Countries citing papers authored by Daniel Gibson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gibson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Gibson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gibson. A scholar is included among the top collaborators of Daniel Gibson 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 Daniel Gibson. Daniel Gibson 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.
Papadopoulos, Zachary, Leon Smyth, Igor Smirnov, et al.. (2025). Differential impact of lymphatic outflow pathways on cerebrospinal fluid homeostasis. The Journal of Experimental Medicine. 222(2). 7 indexed citations
2.
Rivera‐Franco, Monica M., Fernanda Volt, Diana Hernandez, et al.. (2024). Unsupervised Clustering Analysis of Regimen and HLA Characteristics in Pediatric Umbilical Cord Blood Transplantation. Transplantation and Cellular Therapy. 30(9). 910.e1–910.e15. 1 indexed citations
3.
Anthias, Chloe, et al.. (2023). Prospective Donors’ Perspectives on Hematopoietic Cell Donation for Cell and Gene Therapy Research and Development. Regenerative Medicine. 18(4). 301–311. 2 indexed citations
4.
Gibson, Daniel, et al.. (2022). Ethnic diversity and cord blood banking: satisfying the unmet need. Cytotherapy. 24(10). 1060–1066. 3 indexed citations
5.
Kilbride, Peter, Julie Meneghel, Stephen Lamb, et al.. (2019). Recovery and Post-Thaw Assessment of Human Umbilical Cord Blood Cryopreserved as Quality Control Segments and Bulk Samples. Biology of Blood and Marrow Transplantation. 25(12). 2447–2453. 10 indexed citations
6.
Estrada, Javier, et al.. (2016). Cellular Interrogation: Exploiting Cell-to-Cell Variability to Discriminate Regulatory Mechanisms in Oscillatory Signalling. PLoS Computational Biology. 12(7). e1004995–e1004995. 7 indexed citations
7.
Summers, Daniel W., Daniel Gibson, Aaron DiAntonio, & Jeffrey Milbrandt. (2016). SARM1-specific motifs in the TIR domain enable NAD + loss and regulate injury-induced SARM1 activation. Proceedings of the National Academy of Sciences. 113(41). E6271–E6280. 99 indexed citations
8.
Cox, S.T., Raquel Laza‐Briviesca, Bernat Soria, et al.. (2015). Umbilical cord blood plasma contains soluble NKG2D ligands that mediate loss of natural killer cell function and cytotoxicity. European Journal of Immunology. 45(8). 2324–2334. 18 indexed citations
9.
Naing, May Win, Daniel Gibson, Paul Hourd, et al.. (2014). Improving umbilical cord blood processing to increase total nucleated cell count yield and reduce cord input wastage by managing the consequences of input variation. Cytotherapy. 17(1). 58–67. 13 indexed citations
10.
Gibson, Daniel, Stephen R. Tymanskyj, Julie L. Lefebvre, et al.. (2014). Dendrite Self-Avoidance Requires Cell-Autonomous Slit/Robo Signaling in Cerebellar Purkinje Cells. Neuron. 81(5). 1040–1056. 66 indexed citations
11.
Wang, Shengzhi, Leena A. Ibrahim, Young J. Kim, et al.. (2013). Slit/Robo Signaling Mediates Spatial Positioning of Spiral Ganglion Neurons during Development of Cochlear Innervation. Journal of Neuroscience. 33(30). 12242–12254. 25 indexed citations
12.
Domyan, Eric T., Daniel Gibson, L.A. Naiche, et al.. (2013). Roundabout Receptors Are Critical for Foregut Separation from the Body Wall. Developmental Cell. 24(1). 52–63. 43 indexed citations
13.
Gibson, Daniel & Le Ma. (2011). Mosaic Analysis of Gene Function in Postnatal Mouse Brain Development by Using Virus-based Cre Recombination. Journal of Visualized Experiments. 8 indexed citations
14.
Duggleby, Richard, Sergio Querol, Laura Fry, et al.. (2011). Flow cytometry assessment of apoptotic CD34+ cells by annexin V labeling may improve prediction of cord blood potency for engraftment. Transfusion. 52(3). 549–559. 37 indexed citations
15.
Gibson, Daniel & Le Ma. (2010). Developmental regulation of axon branching in the vertebrate nervous system. Development. 138(2). 183–195. 144 indexed citations
16.
Talton, Jerry O., Daniel Gibson, Lingfeng Yang, Pat Hanrahan, & Vladlen Koltun. (2009). Exploratory modeling with collaborative design spaces. ACM Transactions on Graphics. 28(5). 1–10. 87 indexed citations
17.
Gibson, Daniel. (2009). One-step enzymatic assembly of DNA molecules up to several hundred kilobases in size. Protocol Exchange. 20 indexed citations
18.
Talton, Jerry O., Daniel Gibson, Lingfeng Yang, Pat Hanrahan, & Vladlen Koltun. (2009). Exploratory modeling with collaborative design spaces. 1–10. 19 indexed citations
19.
Hasan, Shabih U., et al.. (1990). The effects of naloxone on the changes in breathing and behaviour induced by morphine in the foetal sheep.. PubMed. 14(3). 171–9. 5 indexed citations
20.
Gibson, Daniel, et al.. (1965). MORPHOLOGICAL AND BEHAVIORAL CONSEQUENCES OF CHROMOSOME SUBTYPE IN MONGOLISM.. PubMed. 69. 801–4. 9 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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