Jessica D. Kessler

3.9k citations
9 papers · 2.3k indexed · 2 hit papers · h-index 8
Topics
Hedgehog Signaling Pathway Studies (4 papers)Epigenetics and DNA Methylation (4 papers)Developmental Biology and Gene Regulation (2 papers)

In The Last Decade

Jessica D. Kessler

9 papers receiving 2.3k citations

Hit Papers

Gene expression profiles of human breast cancer progression200320262010201820032011200400600

Peers

Jessica D. Kessler
Comparison fields: 5 of 94
  • Molecular Biology 1.7k
  • Oncology 625
  • Cancer Research 527
  • Genetics 390
  • Developmental Neuroscience 252
Replace Hongwu Zheng with:
Hongwu Zheng United States
Daniel J. Silver United States
Lene Uhrbom Sweden
Jarek Maciaczyk Germany
Lucia Di Marcotullio Italy
David P. Noske Netherlands
Svetlana Kotliarova United States
Neil Christopher United States
Dwain K. Irvin United States
Collins Vp Sweden
Jessica D. Kessler relative to Hongwu Zheng United States Hongwu Zheng's profile →
Citations per field
00.5×1.5×
Hongwu Zheng · 1×
Citations per year

Countries citing papers authored by Jessica D. Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Jessica D. Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica D. Kessler. 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 Jessica D. Kessler. The network helps show where Jessica D. Kessler may publish in the future.

Co-authorship network of co-authors of Jessica D. Kessler

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2
The pINDUCER lentiviral toolkit for inducible RNA interference in vitro and in vivobreakdown →
473
3 50
4 470
5 187
6 366
7 75
8 12
9
Gene expression profiles of human breast cancer progressionbreakdown →
673

About Jessica D. Kessler

Jessica D. Kessler is a scholar working on Developmental Neuroscience, Urology and Oral Surgery, having authored 9 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (4 papers), Epigenetics and DNA Methylation (4 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Developmental Neuroscience (252 citations), Genetics (390 citations) and Cancer Research (527 citations). Jessica D. Kessler has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Robert J. Wechsler‐Reya, Tracy‐Ann Read, Wieland Β. Huttner, Constanze Kaiser, Denis Corbeil, Jane E. Johnson, Tammy Ellis, Shirley L. Markant, Brandon J. Wainwright and Ulrich Schüller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development and Nature Neuroscience.

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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