Jennifer Hammes

663 citations
12 papers · 457 · h-index 9

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Neuroblastoma Research and Treatments
    • Neurofibromatosis and Schwannoma Cases

Papers in

    • Epigenetics and DNA Methylation 3
    • Chromatin Remodeling and Cancer 2
    • Fibroblast Growth Factor Research 2
    • Hedgehog Signaling Pathway Studies 2
    • RNA modifications and cancer 2
    • Genomics and Chromatin Dynamics 2
    • Glioma Diagnosis and Treatment 7

Jennifer Hammes

12 papers receiving 450 citations

Peers

Jennifer Hammes
Comparison fields: 5 of 48
  • Genetics 280
  • Neurology 118
  • Cancer Research 115
  • Structural Biology 6
  • Molecular Biology 268
Replace Anja zur Mühlen with:
Anja zur Mühlen Germany
Mariko DeWire United States
Nellie Yuk‐Fei Chung Hong Kong
Michal Zápotocký Czechia
Marie-Anne Debily France
E. Q. Lee United States
Claire Faulkner United Kingdom
Sandra Ruland United States
Isabelle Nanni‐Metellus France
Nesrine Trabelsi Tunisia
Jennifer Hammes relative to Anja zur Mühlen Germany Anja zur Mühlen's profile →
Citations per field
00.5×1.6×
Anja zur Mühlen · 1×
Citations per year

Countries citing papers authored by Jennifer Hammes

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Hammes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201293
2 201390
3 201456
4 201354
5 201052
6 201430
7 201327
8 201222
9 201412
10 20118
11 20117
12 20166

About Jennifer Hammes

Jennifer Hammes is a scholar working on Molecular Biology, Genetics, Cancer Research, Structural Biology and Neurology, having authored 12 papers that have together received 457 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Epigenetics and DNA Methylation (3 papers), Microtubule and mitosis dynamics (2 papers), Chromatin Remodeling and Cancer (2 papers), Fibroblast Growth Factor Research (2 papers), Hedgehog Signaling Pathway Studies (2 papers), RNA modifications and cancer (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Genetics (280 citations), Neurology (118 citations), Cancer Research (115 citations), Structural Biology (6 citations) and Molecular Biology (268 citations). Jennifer Hammes has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Andreas Waha, Torsten Pietsch, Marco Gessi, Gerrit H. Gielen, Christof M. Kramm, Dorota Denkhaus, Anja zur Mühlen, Anke Waha, Matthias Simon and Evelyn Dörner. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Neoplasia, Translational Oncology, Acta Neuropathologica and American Journal Of Pathology.

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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