Simon Goldbard

627 total citations
19 papers, 521 citations indexed

About

Simon Goldbard is a scholar working on Molecular Biology, Biomedical Engineering and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Simon Goldbard has authored 19 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Simon Goldbard's work include Reproductive System and Pregnancy (5 papers), Reproductive Biology and Fertility (5 papers) and Advanced Biosensing Techniques and Applications (4 papers). Simon Goldbard is often cited by papers focused on Reproductive System and Pregnancy (5 papers), Reproductive Biology and Fertility (5 papers) and Advanced Biosensing Techniques and Applications (4 papers). Simon Goldbard collaborates with scholars based in United States, Australia and Netherlands. Simon Goldbard's co-authors include Carol M. Warner, Sandra O. Gollnick, Kathryn M. Verbanac, Lorraine Flaherty, Jahn M. Nesland, Marja E. Jakobs, N. J. Leschot, Kent W. Nowels, Bjørn Naume and Irene M. de Graaf and has published in prestigious journals such as Annals of the New York Academy of Sciences, Biology of Reproduction and Drug Discovery Today.

In The Last Decade

Simon Goldbard

19 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Goldbard United States 12 193 174 170 85 75 19 521
B B Rosenblum United States 12 211 1.1× 76 0.4× 48 0.3× 103 1.2× 57 0.8× 15 501
Jacqueline Rosains United States 4 406 2.1× 116 0.7× 422 2.5× 58 0.7× 16 0.2× 4 789
Ilana Harari Israel 8 159 0.8× 82 0.5× 84 0.5× 50 0.6× 6 0.1× 11 382
Li‐Ying Sung United States 21 1.2k 6.2× 640 3.7× 32 0.2× 346 4.1× 23 0.3× 62 1.4k
Andrew J. C. Russell United Kingdom 7 335 1.7× 110 0.6× 121 0.7× 35 0.4× 24 0.3× 10 504
Katharina Hötte Germany 7 238 1.2× 97 0.6× 93 0.5× 17 0.2× 14 0.2× 8 420
R. Stephens United States 9 308 1.6× 68 0.4× 73 0.4× 131 1.5× 10 0.1× 19 524
Nicholas Holmes United Kingdom 11 333 1.7× 93 0.5× 523 3.1× 22 0.3× 11 0.1× 12 878
Richtje Leijendekker Netherlands 7 519 2.7× 54 0.3× 251 1.5× 36 0.4× 12 0.2× 7 892
Sara Ruiz Spain 8 148 0.8× 65 0.4× 540 3.2× 26 0.3× 13 0.2× 10 694

Countries citing papers authored by Simon Goldbard

Since Specialization
Citations

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

Fields of papers citing papers by Simon Goldbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Goldbard

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

All Works

19 of 19 papers shown
1.
Bassoni, Daniel L., et al.. (2006). Use of the CellCard™ System for Analyzing Multiple Cell Types in Parallel. Humana Press eBooks. 356. 129–138. 2 indexed citations
2.
Goldbard, Simon. (2006). Bringing primary cells to mainstream drug development and drug testing.. PubMed. 9(1). 110–6. 17 indexed citations
3.
Goldbard, Simon, et al.. (2005). The CellCard(™) System: A Novel Approach to Assessing Compound Selectivity for Lead Prioritization of G Protein-Coupled Receptors. Combinatorial Chemistry & High Throughput Screening. 8(4). 293–299. 4 indexed citations
4.
Li, Jianren, et al.. (2004). A Novel Encoded Particle Technology that Enables Simultaneous Interrogation of Multiple Cell Types. SLAS DISCOVERY. 9(3). 173–185. 28 indexed citations
5.
Hoopes, Matthew I., et al.. (2004). Multiplexed cell analysis on CellCards for drug discovery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5328. 18–18. 3 indexed citations
6.
Hoopes, Matthew I., et al.. (2004). Multiplexed high-throughput image cytometry using encoded carriers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5322. 52–52. 6 indexed citations
7.
Goldbard, Simon, et al.. (2002). High-throughput cell analysis using multiplexed array technologies. Drug Discovery Today. 7(18). S131–S135. 51 indexed citations
8.
Borgen, Elin, et al.. (2001). Use of automated microscopy for the detection of disseminated tumor cells in bone marrow samples. Cytometry. 46(4). 215–221. 37 indexed citations
9.
Graaf, Irene M. de, et al.. (1999). Enrichment, identification and analysis of fetal cells from maternal blood: evaluation of a prenatal diagnosis system. Prenatal Diagnosis. 19(7). 648–652. 29 indexed citations
10.
Tse, Doris B., et al.. (1994). Characterization of Trophoblast‐Reactive Monoclonal Antibodies by Flow Cytometry and Their Application for Fetal Cell Isolation. Annals of the New York Academy of Sciences. 731(1). 162–169. 10 indexed citations
11.
Warner, Carol M., Sandra O. Gollnick, & Simon Goldbard. (1987). Linkage of the Preimplantation-Embryo-Development (Ped) Gene to the Mouse Major Histocompatibility Complex (MHC)1. Biology of Reproduction. 36(3). 606–610. 54 indexed citations
12.
Warner, Carol M., Sandra O. Gollnick, Lorraine Flaherty, & Simon Goldbard. (1987). Analysis of Qa-2 Antigen Expression by Preimplantation Mouse Embryos: Possible Relationship to the Preimplantation-Embryo-Development (Ped) Gene Product1. Biology of Reproduction. 36(3). 611–616. 86 indexed citations
13.
Goldbard, Simon, Sandra O. Gollnick, & Carol M. Warner. (1985). Synthesis of H-2 Antigens by Preimplantation Mouse Embryos1. Biology of Reproduction. 33(1). 30–36. 18 indexed citations
14.
Goldbard, Simon, Sandra O. Gollnick, & Carol M. Warner. (1984). A highly sensitive method for the detection of cell surface antigens on preimplantation mouse embryos. Journal of Immunological Methods. 68(1-2). 137–146. 19 indexed citations
15.
Warner, Carol M., Sandra O. Gollnick, & Simon Goldbard. (1984). Genetic control of early embryonic development by gene(s) in the MHC (H-2 complex).. 6 indexed citations
16.
Goldbard, Simon & Carol M. Warner. (1982). Genes Affect the Timing of Early Mouse Embryo Development. Biology of Reproduction. 27(2). 419–424. 63 indexed citations
17.
Goldbard, Simon, Kathryn M. Verbanac, & Carol M. Warner. (1982). Role of the H-2 Complex in Preimplantation Mouse Embryo Development. Biology of Reproduction. 26(4). 591–596. 51 indexed citations
18.
Goldbard, Simon, Kathryn M. Verbanac, & Carol M. Warner. (1982). GENETIC ANALYSIS OF H‐2 LINKED GENE(S) AFFECTING EARLY MOUSE EMBRYO DEVELOPMENT. International Journal of Immunogenetics. 9(2). 77–82. 29 indexed citations
19.
Verbanac, Kathryn M., et al.. (1981). An automated procedure to measure DNA synthesis in preimplantation mouse embryos. Gamete Research. 4(2). 121–131. 8 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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