Benjamin Feldman

4.1k total citations · 3 hit papers
37 papers, 3.2k citations indexed

About

Benjamin Feldman is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Benjamin Feldman has authored 37 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Cell Biology and 6 papers in Genetics. Recurrent topics in Benjamin Feldman's work include Developmental Biology and Gene Regulation (13 papers), Zebrafish Biomedical Research Applications (11 papers) and Congenital heart defects research (10 papers). Benjamin Feldman is often cited by papers focused on Developmental Biology and Gene Regulation (13 papers), Zebrafish Biomedical Research Applications (11 papers) and Congenital heart defects research (10 papers). Benjamin Feldman collaborates with scholars based in United States, United Kingdom and Austria. Benjamin Feldman's co-authors include Mitchell Goldfarb, William Poueymirou, Virginia E. Papaioannou, Thomas M. DeChiara, William S. Talbot, Alexander F. Schier, Scott T. Dougan, Benjamin A. Katchman, Steve W. Granger and Andrew J. Jajack and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Benjamin Feldman

35 papers receiving 3.2k citations

Hit Papers

Requirement of FGF-4 for Postimplantation Mouse Development 1995 2026 2005 2015 1995 1998 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Feldman United States 23 2.4k 690 485 415 217 37 3.2k
Sachiko Iseki Japan 31 3.1k 1.3× 398 0.6× 1.6k 3.4× 337 0.8× 276 1.3× 104 4.9k
Ian C. Scott Canada 30 2.3k 1.0× 788 1.1× 562 1.2× 104 0.3× 75 0.3× 58 3.6k
Le A. Trinh United States 22 1.7k 0.7× 539 0.8× 168 0.3× 298 0.7× 42 0.2× 42 2.3k
Guoji Guo China 34 4.0k 1.6× 389 0.6× 453 0.9× 340 0.8× 49 0.2× 67 5.3k
Kapil Bharti United States 36 3.2k 1.3× 429 0.6× 316 0.7× 457 1.1× 52 0.2× 112 4.6k
Mary E. Dickinson United States 33 2.4k 1.0× 698 1.0× 458 0.9× 1.1k 2.6× 51 0.2× 64 4.0k
Thomas Kurth Germany 32 2.0k 0.8× 564 0.8× 229 0.5× 458 1.1× 59 0.3× 88 3.1k
Martin M. Knight United Kingdom 42 1.7k 0.7× 1.2k 1.8× 971 2.0× 937 2.3× 56 0.3× 121 4.7k
Sonja Nowotschin United States 25 2.1k 0.9× 232 0.3× 368 0.8× 223 0.5× 31 0.1× 37 2.6k
Carol-Anne Martin United Kingdom 5 3.5k 1.4× 476 0.7× 523 1.1× 1.3k 3.2× 41 0.2× 7 5.2k

Countries citing papers authored by Benjamin Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Feldman

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Feldman. A scholar is included among the top collaborators of Benjamin Feldman 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 Benjamin Feldman. Benjamin Feldman 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.
Hoss, Udo, et al.. (2025). Continuous Dual Glucose–Ketone Sensing Technology. Diabetes Technology & Therapeutics. 27(S4). S20–S24.
2.
Heikenfeld, Jason, et al.. (2019). Accessing analytes in biofluids for peripheral biochemical monitoring. Nature Biotechnology. 37(4). 407–419. 552 indexed citations breakdown →
3.
Trivellin, Giampaolo, Ivana Bjelobaba, Adrian Daly, et al.. (2016). Characterization of GPR101 transcripts structure, expression and signaling. Open Repository and Bibliography (University of Liège).
4.
Trivellin, Giampaolo, Ivana Bjelobaba, Adrian Daly, et al.. (2016). Characterization of GPR101 transcript structure and expression patterns. Journal of Molecular Endocrinology. 57(2). 97–111. 29 indexed citations
5.
Horstick, Eric J., Sadie A. Bergeron, Kathryn M. Tabor, et al.. (2015). Increased functional protein expression using nucleotide sequence features enriched in highly expressed genes in zebrafish. Nucleic Acids Research. 43(7). e48–e48. 65 indexed citations
6.
Feldman, Benjamin, M Tuchman, & Ljubica Caldovic. (2014). A zebrafish model of hyperammonemia. Molecular Genetics and Metabolism. 113(1-2). 142–147. 16 indexed citations
7.
Roessler, Erich, Ping Hu, Sung‐Kook Hong, et al.. (2012). Unique Alterations of an Ultraconserved Non-Coding Element in the 3′UTR of ZIC2 in Holoprosencephaly. PLoS ONE. 7(7). e39026–e39026. 8 indexed citations
8.
Hong, Sung‐Kook, Carly S. Levin, Haiyan Wan, et al.. (2010). Pre-gastrula expression of zebrafish extraembryonic genes. BMC Developmental Biology. 10(1). 42–42. 19 indexed citations
9.
Huizing, Marjan, Heidi Dorward, Enriko Klootwijk, et al.. (2010). OPA3, mutated in 3-methylglutaconic aciduria type III, encodes two transcripts targeted primarily to mitochondria. Molecular Genetics and Metabolism. 100(2). 149–154. 20 indexed citations
10.
Domené, Sabina, Erich Roessler, Kênia Balbi El-Jaick, et al.. (2008). Mutations in the human SIX3 gene in holoprosencephaly are loss of function. Human Molecular Genetics. 17(24). 3919–3928. 42 indexed citations
11.
Schröter, Christian, Leah Herrgen, Albert Cardona, et al.. (2008). Dynamics of zebrafish somitogenesis. Developmental Dynamics. 237(3). 545–553. 114 indexed citations
12.
Roessler, Erich, Maia V. Ouspenskaia, Jayaprakash D. Karkera, et al.. (2008). Reduced NODAL Signaling Strength via Mutation of Several Pathway Members Including FOXH1 Is Linked to Human Heart Defects and Holoprosencephaly. The American Journal of Human Genetics. 83(1). 18–29. 115 indexed citations
13.
Pei, Wuhong, et al.. (2007). An early requirement for maternal FoxH1 during zebrafish gastrulation. Developmental Biology. 310(1). 10–22. 42 indexed citations
14.
Parsons, Michael, Steven M. Pollard, Leonor Saúde, et al.. (2002). Zebrafish mutants identify an essential role for laminins in notochord formation. Development. 129(13). 3137–3146. 203 indexed citations
15.
Feldman, Benjamin & Derek L. Stemple. (2001). Morpholino phenocopies of sqt, oep, and ntl mutations. genesis. 30(3). 175–177. 41 indexed citations
16.
Feldman, Benjamin. (2001). Meeting Review: The Second European Conference on Zebrafish Genetics and Development. Comparative and Functional Genomics. 2(4). 252–256. 1 indexed citations
17.
Feldman, Benjamin, Scott T. Dougan, Alexander F. Schier, & William S. Talbot. (2000). Nodal-related signals establish mesendodermal fate and trunk neural identity in zebrafish. Current Biology. 10(9). 531–534. 101 indexed citations
18.
Feldman, Benjamin, Michael A. Gates, Elizabeth S. Egan, et al.. (1998). Zebrafish organizer development and germ-layer formation require nodal-related signals. Nature. 395(6698). 181–185. 569 indexed citations breakdown →
19.
Hartung, Helge, Benjamin Feldman, H. Lovec, et al.. (1997). Murine FGF-12 and FGF-13: expression in embryonic nervous system, connective tissue and heart. Mechanisms of Development. 64(1-2). 31–39. 106 indexed citations
20.
Foisner, Roland, et al.. (1994). A panel of monoclonal antibodies to rat plectin: Distinction by epitope mapping and immunoreactivity with different tissues and cell lines. Acta Histochemica. 96(4). 421–438. 44 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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