Rachel E. Heap

530 citations
12 papers · 326 · h-index 9

Impact in

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

Papers in

    • Chemical Synthesis and Analysis 2
    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 1
    • Immune cells in cancer 2
    • Macrophage Migration Inhibitory Factor 1

Rachel E. Heap

12 papers receiving 326 citations

Peers

Rachel E. Heap
Comparison fields: 5 of 72
  • Spectroscopy 63
  • Molecular Biology 209
  • Immunology 41
  • Neurology 15
  • Organic Chemistry 44
Replace Huaijiang Xiang with:
Huaijiang Xiang China
Nikhil Gadewal India
Olof Gissberg Sweden
Kerstin Schäfer Germany
Charandeep Singh India
A.R. Sørensen Denmark
H Liu China
Laura Orsatti Italy
Nadav Askari Israel
Franziska Wachter United States
Rachel E. Heap relative to Huaijiang Xiang China Huaijiang Xiang's profile →
Citations per field
00.5×1.5×1.9×
Huaijiang Xiang · 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

12 of 12 papers shown
#Work
1 202259
2 202146
3 202144
4 201741
5 202139
6 201730
7 202328
8 202310
9 20228
10 20228
11 20227
12 20196

About Rachel E. Heap

Rachel E. Heap is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Oncology and Spectroscopy, having authored 12 papers that have together received 326 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (2 papers), Click Chemistry and Applications (2 papers), Immune cells in cancer (2 papers), Ubiquitin and proteasome pathways (2 papers), Peptidase Inhibition and Analysis (2 papers), Macrophage Migration Inhibitory Factor (1 paper), Protein Degradation and Inhibitors (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Spectroscopy (63 citations), Molecular Biology (209 citations), Immunology (41 citations), Neurology (15 citations) and Organic Chemistry (44 citations). Rachel E. Heap has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Matthias Trost, Julien Peltier, María Emilia Dueñas, Roland S. Annan, Melanie Leveridge, Frank Büttner, Tiaan Heunis, David House, Jacob T. Bush and Adam J. Moore. Their work appears in journals such as SLAS DISCOVERY, Chemical Science, Cell Reports Physical Science, Acta Neuropathologica and Frontiers in Immunology.

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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