Rachel E. Heap

572 citations
13 papers · 358 · h-index 10

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Metabolomics and Mass Spectrometry Studies
    • Chemical Synthesis and Analysis

Papers in

    • Ubiquitin and proteasome pathways 2
    • Chemical Synthesis and Analysis 2
    • Glycosylation and Glycoproteins Research 1
    • Immune cells in cancer 2

Rachel E. Heap

12 papers receiving 358 citations

Peers

Rachel E. Heap
Comparison fields: 5 of 72
  • Spectroscopy 67
  • Molecular Biology 205
  • Immunology 41
  • Neurology 14
  • Neurology 23
Replace Nikhil Gadewal with:
Nikhil Gadewal India
Kong T. Nguyen Canada
John S. Coukos United States
Martin Golkowski United States
H Liu China
Olof Gissberg Sweden
Svenja Wiechmann Germany
Serene Josiah United States
Scott E. Warder United States
A.R. Sørensen Denmark
Rachel E. Heap relative to Nikhil Gadewal India Nikhil Gadewal's profile →
Citations per field
00.5×4.3×
Nikhil Gadewal · 1×
Citations per year

Countries citing papers authored by Rachel E. Heap

Since Specialization
Citations

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

Fields of papers citing papers by Rachel E. Heap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202274
2 202148
3 202146
4 202142
5 201742
6 202331
7 201730
8 202210
9 202310
10 20229
11 20198
12 20228
13 20250

About Rachel E. Heap

Rachel E. Heap is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Oncology and Spectroscopy, having authored 13 papers that have together received 358 indexed citations. Recurring topics across this work include Click Chemistry and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Chemical Synthesis and Analysis (2 papers), Immune cells in cancer (2 papers), Peptidase Inhibition and Analysis (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Spectroscopy (67 citations), Molecular Biology (205 citations), Immunology (41 citations), Neurology (14 citations) and Neurology (23 citations). Rachel E. Heap has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Matthias Trost, María Emilia Dueñas, Roland S. Annan, Melanie Leveridge, Julien Peltier, Frank Büttner, Tiaan Heunis, David House, Francesca Zappacosta and Jacob T. Bush. Their work appears in journals such as SLAS DISCOVERY, Biochemical Society Transactions, Journal of Medicinal Chemistry, Frontiers in Immunology and Acta Neuropathologica.

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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