B. M. Zuckerman

1.6k total citations · 1 hit paper
56 papers, 1.0k citations indexed

About

B. M. Zuckerman is a scholar working on Plant Science, Molecular Biology and Aging. According to data from OpenAlex, B. M. Zuckerman has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 13 papers in Molecular Biology and 13 papers in Aging. Recurrent topics in B. M. Zuckerman's work include Nematode management and characterization studies (22 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). B. M. Zuckerman is often cited by papers focused on Nematode management and characterization studies (22 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). B. M. Zuckerman collaborates with scholars based in United States, Israel and Germany. B. M. Zuckerman's co-authors include Igor Ulitsky, G. S. Abawi, Eran Segal, Martin Mikl, S. Himmelhoch, Hans‐Börje Jansson, Boris Slobodin, N. Marbán-Mendoza, Yoav Lubelsky and E.J. Calabrese and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Neuroscience.

In The Last Decade

B. M. Zuckerman

47 papers receiving 912 citations

Hit Papers

SARS-CoV-2 uses a multipronged strategy to impede host pr... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. M. Zuckerman United States 16 431 268 139 133 116 56 1.0k
W. Robert Shaw United States 15 218 0.5× 95 0.4× 148 1.1× 40 0.3× 102 0.9× 24 981
Marissa Macchietto United States 15 513 1.2× 198 0.7× 293 2.1× 80 0.6× 43 0.4× 20 1.0k
Vincenzo Zimarino Italy 16 1.6k 3.6× 78 0.3× 123 0.9× 48 0.4× 48 0.4× 23 1.8k
Olivier Zugasti France 16 570 1.3× 60 0.2× 129 0.9× 38 0.3× 46 0.4× 19 1.0k
Arnaud Kerhornou United Kingdom 8 848 2.0× 295 1.1× 98 0.7× 171 1.3× 32 0.3× 9 1.4k
Alexander Sherstnev United Kingdom 8 593 1.4× 222 0.8× 80 0.6× 121 0.9× 24 0.2× 8 1000
Derek W. Barnett United States 7 660 1.5× 242 0.9× 48 0.3× 78 0.6× 23 0.2× 7 1.0k
Eliette Bonnefoy France 21 1.1k 2.5× 101 0.4× 153 1.1× 68 0.5× 329 2.8× 33 1.9k
Linda E. Iverson United States 9 701 1.6× 108 0.4× 28 0.2× 30 0.2× 106 0.9× 12 1.1k
István Ladunga United States 18 1.2k 2.9× 440 1.6× 68 0.5× 74 0.6× 54 0.5× 30 1.7k

Countries citing papers authored by B. M. Zuckerman

Since Specialization
Citations

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

Fields of papers citing papers by B. M. Zuckerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. M. Zuckerman

This figure shows the co-authorship network connecting the top 25 collaborators of B. M. Zuckerman. A scholar is included among the top collaborators of B. M. Zuckerman 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 B. M. Zuckerman. B. M. Zuckerman 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.
Römer, Christine, M A Strauch, B. M. Zuckerman, et al.. (2025). Neuromuscular dysfunction in patient-derived FUSR244RR–ALS iPSC model via axonal downregulation of neuromuscular junction proteins. PubMed. 2(2). ugaf005–ugaf005.
2.
Zuckerman, B. M., et al.. (2024). Single-cell RNA sequencing algorithms underestimate changes in transcriptional noise compared to single-molecule RNA imaging. Cell Reports Methods. 4(12). 100933–100933. 2 indexed citations
4.
Slobodin, Boris, B. M. Zuckerman, Amir Ben‐Shmuel, et al.. (2022). Cap-independent translation and a precisely located RNA sequence enable SARS-CoV-2 to control host translation and escape anti-viral response. Nucleic Acids Research. 50(14). 8080–8092. 26 indexed citations
5.
Lubelsky, Yoav, B. M. Zuckerman, & Igor Ulitsky. (2021). High‐resolution mapping of function and protein binding in an RNA nuclear enrichment sequence. The EMBO Journal. 40(12). e106357–e106357. 12 indexed citations
6.
Finkel, Yaara, Aharon Nachshon, Roni Winkler, et al.. (2021). SARS-CoV-2 uses a multipronged strategy to impede host protein synthesis. Nature. 594(7862). 240–245. 160 indexed citations breakdown →
7.
Zuckerman, B. M., et al.. (2020). Gene Architecture and Sequence Composition Underpin Selective Dependency of Nuclear Export of Long RNAs on NXF1 and the TREX Complex. Molecular Cell. 79(2). 251–267.e6. 96 indexed citations
8.
Zuckerman, B. M. & Igor Ulitsky. (2019). Predictive models of subcellular localization of long RNAs. RNA. 25(5). 557–572. 80 indexed citations
9.
Haimon, Zhana, Johannes Orthgieß, Sigalit Boura‐Halfon, et al.. (2018). Re-evaluating microglia expression profiles using RiboTag and cell isolation strategies. Nature Immunology. 19(6). 636–644. 141 indexed citations
11.
Chatterjee, Arijit, et al.. (2016). Regulation of Neuronal Oxygen Responses inC. elegansIs Mediated through Interactions between Globin 5 and the H-NOX Domains of Soluble Guanylate Cyclases. Journal of Neuroscience. 36(3). 963–978. 13 indexed citations
12.
Potter, Thomas L., et al.. (1995). Streptomyces costaricanus sp. nov., Isolated from Nematode-Suppressive Soil. International Journal of Systematic Bacteriology. 45(4). 775–779. 25 indexed citations
13.
Marbán-Mendoza, N., et al.. (1989). Evaluation of control of Meloidogyne incognita and Nacobbus aberrans on tomato by two leguminous plants.. Revue de nématologie. 12(4). 409–412. 9 indexed citations
14.
Zuckerman, B. M., et al.. (1988). Cryopreservation studies on the nematophagous fungus Drechmeria coniospora. Revue de nématologie. 11(3). 327–331. 4 indexed citations
15.
Zuckerman, B. M., et al.. (1971). Plant parasitic nematodes. Vol. I. Morphology, anatomy, taxonomy, and ecology.. 1. 2 indexed citations
16.
Paracer, Surindar, M.W. Brzeski, & B. M. Zuckerman. (1966). Nematophagous fungi and predaceous nematodes associated with cranberry soils in Massachusetts.. ˜The œPlant disease reporter. 50(8). 584–586.
17.
Zuckerman, B. M.. (1964). Studies of two nematode species associated with roots of the cultivated highbush blueberry.. ˜The œPlant disease reporter. 48(3). 170–172. 2 indexed citations
18.
Zuckerman, B. M.. (1963). Preservation of plant parasitic nematodes by freezing.. Proceedings of the Helminthological Society of Washington. 30(1). 65–66. 1 indexed citations
19.
Zuckerman, B. M. & S. Khera. (1962). Studies On the Culturing of Certain Ectoparasitic Nematodes On Plant Callus Tissue 1). Nematologica. 8(4). 272–274. 5 indexed citations
20.
Zuckerman, B. M.. (1960). A method for the concentration of nematodes for mounting from the Baermann apparatus.. Proceedings of the Helminthological Society of Washington. 27(1). 37–39.

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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