Raphael Heilig

21 papers receiving 798 citations

Raphael Heilig's Hit Papers

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity 2022 · 225 citations
2250+1+2Years since publication50100150200

Peers

Raphael Heilig
Comparison fields: 5 of 55
  • Spectroscopy 95
  • Infectious Diseases 84
  • Molecular Biology 157
  • Cancer Research 31
  • Reproductive Medicine 24
Replace Manoj Kumar Gupta with:
Manoj Kumar Gupta India
Anja Stefanski Germany
Wusheng Yan United States
Georgia Arentz Australia
Emil Boonacker Netherlands
Francesca Isabelle Cendali United States
Johann Rudolf Frey Switzerland
Marco Trevisán-Herraz Spain
Anne Marie Gillespie United States
Raphael Heilig relative to Manoj Kumar Gupta India Manoj Kumar Gupta's profile →
Citations per field
00.5×2×4×6×8×
Manoj Kumar Gupta · 1×
Citations per year

Countries citing papers authored by Raphael Heilig

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Heilig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A blood atlas of COVID-19 defines hallmarks of disease severity and specificity
Hit paper breakdown →
2022225
2 2020142
3 201986
4 202063
5 202439
6 202230
7 201428
8 202027
9 202125
10 202024
11 202124
12 202224
13 202122
14 202117
15 202210
16 20238
17 20224
18 20244
19 20223
20 20222

About Raphael Heilig

Raphael Heilig is a scholar working on Spectroscopy, Molecular Biology, Obstetrics and Gynecology, Cancer Research and Neurology, having authored 21 papers that have together received 808 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Cancer, Hypoxia, and Metabolism (1 paper), Pregnancy and preeclampsia studies (1 paper), COVID-19 Clinical Research Studies (1 paper), Sepsis Diagnosis and Treatment (1 paper), T-cell and B-cell Immunology (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Spectroscopy (95 citations), Infectious Diseases (84 citations), Molecular Biology (157 citations), Cancer Research (31 citations) and Reproductive Medicine (24 citations). Raphael Heilig has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Román Fischer, Jüergen Cox, Markus Lubeck, Sven Brehmer, Nikita A. Prianichnikov, Heiner Koch, Benedikt Mathias Kessler, William D. Figg, Matthew E. Cockman and Christopher John Schofield. Their work appears in journals such as Science Translational Medicine, Journal of Cerebral Blood Flow & Metabolism, Journal of Thrombosis and Haemostasis, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

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.

Explore authors with similar magnitude of impact