Jonathan Ham

5.3k citations
42 papers · 4.6k indexed · 2 hit papers · h-index 27

Jonathan Ham

42 papers receiving 4.5k citations

Hit Papers

FOXO transcription factors directly activate bim gene exp...5541995202620052015200400600

Peers

Jonathan Ham
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 216
  • Molecular Biology 3.2k
  • Aging 64
  • Genetics 934
Replace Syu-ichi Hirai with:
Syu-ichi Hirai Japan
John C. Chrivia United States
Nikos Panayotatos United States
Roland P.S. Kwok United States
Ryoji Yao Japan
Diane E. Merry United States
Mario Pende France
Gang Pei China
Michael D. Conkright United States
Robert S. Freeman United States
Jonathan Ham relative to Syu-ichi Hirai Japan Syu-ichi Hirai's profile →
Citations per field
00.5×1.6×
Syu-ichi Hirai · 1×
Citations per year

Countries citing papers authored by Jonathan Ham

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jonathan Ham, 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 Ham Line = papers co-authored together Jonathan Ham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201748
2 201118
3 201126
4 201130
5 201039
6 201026
7 201052
8 200513
9 200410
10 20041
11
FOXO transcription factors directly activate bim gene expression and promote apoptosis in sympathetic neuronsbreakdown →
2003554
12 200191
13 2001490
14 199612
15
A c-jun dominant negative mutant protects sympathetic neurons against programmed cell deathbreakdown →
1995725
16 1989119
17 19894
18 1988294
19 1987326
20 198741

About Jonathan Ham

Jonathan Ham is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics, having authored 42 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (14 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Estrogen and related hormone effects (6 papers), Nuclear Receptors and Signaling (5 papers), interferon and immune responses (4 papers), Virus-based gene therapy research (4 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (216 citations) and Molecular Biology (3.2k citations). Jonathan Ham has collaborated with scholars based in United Kingdom, France and Australia. Frequent co-authors include Jonathan R. Whitfield, Lee L. Rubin, Jonathan Gilley, Malcolm G. Parker, Moshé Yaniv, Paul J. Coffer, Andreas Eilers, Dominique Lallemand, Carol Babij and Stephen J. Neame. Their work appears in journals such as Cell Death and Differentiation, Journal of Neuroscience, The EMBO Journal, Nucleic Acids Research and Biochemical Society Transactions.

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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