Jonathan E. Zuckerman

65 papers receiving 6.1k citations

Jonathan E. Zuckerman's Hit Papers

Deep learning-based transformation of H&E stained tissues into special stains 2021 · 233 citations
2330+5+10Years since publication50010001.5k2.0k

Peers

Jonathan E. Zuckerman
Comparison fields: 5 of 142
  • Biomaterials 1.4k
  • Nephrology 387
  • Biophysics 317
  • Molecular Biology 3.4k
  • Cancer Research 639
Replace Felix Gremse with:
Felix Gremse Germany
Zhiyong Wang China
Kurt R. Zinn United States
Gabriel Helmlinger United States
Michael Joseph Donovan United States
Jer‐Tsong Hsieh United States
Radu V. Stan United States
Marc A. M. J. van Zandvoort Netherlands
Michael Lee United States
Trevor D. McKee Canada
Jonathan E. Zuckerman relative to Felix Gremse Germany Felix Gremse's profile →
Citations per field
00.5×2×4×6.7×
Felix Gremse · 1×
Citations per year

Countries citing papers authored by Jonathan E. Zuckerman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Zuckerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan E. Zuckerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan E. Zuckerman Line = papers co-authored together Jonathan E. Zuckerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evidence of RNAi in humans from systemically administered siRNA via targeted nanoparticles
Hit paper breakdown →
20102164
2
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
Hit paper breakdown →
2019466
3 2011444
4 2015377
5 2014364
6 2012334
7
Deep learning-based transformation of H&E stained tissues into special stains
Hit paper breakdown →
2021233
8 2010194
9 2020153
10 2016144
11 2009129
12 2013124
13 2021115
14 2008112
15 2021107
16 201279
17
Disseminated peritoneal leiomyomatosis. Clonality analysis by X chromosome inactivation and cytogenetics of a clinically benign smooth muscle proliferation.
199778
18 201569
19 201363
20 201546

About Jonathan E. Zuckerman

Jonathan E. Zuckerman is a scholar working on Nephrology, Transplantation, Immunology, Molecular Biology and Infectious Diseases, having authored 78 papers that have together received 6.2k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (18 papers), Renal Transplantation Outcomes and Treatments (7 papers), RNA Interference and Gene Delivery (7 papers), Complement system in diseases (7 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Nanoparticle-Based Drug Delivery (6 papers), AI in cancer detection (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Biomaterials (1.4k citations), Nephrology (387 citations), Biophysics (317 citations), Molecular Biology (3.4k citations) and Cancer Research (639 citations). Jonathan E. Zuckerman has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Mark E. Davis, Chung Hang Jonathan Choi, Yun Yen, Antoni Ribas, Jeremy D. Heidel, Anthony W. Tolcher, David B. Seligson, Christopher A. Alabi, Paul Christopher Webster and Han Han. Their work appears in journals such as Proceedings of the National Academy of Sciences, Kidney Medicine, American Journal of Physiology-Renal Physiology, Advances in Chronic Kidney Disease and Journal of Pathology Informatics.

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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