Helmut Romig

2.1k citations
23 papers · 1.8k · h-index 17

Impact in

  • Physiology top 2%
    • Alzheimer's disease research and treatments
    • Cellular transport and secretion

Papers in

    • Genomics and Chromatin Dynamics 3
    • Cancer therapeutics and mechanisms 2
    • Protein Structure and Dynamics 2
    • S100 Proteins and Annexins 2
    • Alzheimer's disease research and treatments 13

Helmut Romig

23 papers receiving 1.7k citations

Peers

Helmut Romig
Comparison fields: 5 of 85
  • Physiology 1.1k
  • Cell Biology 381
  • Pharmacology 337
  • Aging 32
  • Molecular Biology 1.1k
Replace Nobumasa Takasugi with:
Nobumasa Takasugi Japan
Adele M. Pauley United States
Lyne Lévesque Canada
Midori OGAWARA Japan
Paul Fraser Canada
Kevin M. Felsenstein United States
Kulandaivelu S. Vetrivel United States
Fei Dou China
Robert Godemann Germany
Anurag Tandon Canada
Helmut Romig relative to Nobumasa Takasugi Japan Nobumasa Takasugi's profile →
Citations per field
00.5×1.7×
Nobumasa Takasugi · 1×
Citations per year

Countries citing papers authored by Helmut Romig

Since Specialization
Citations

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

Fields of papers citing papers by Helmut Romig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999258
2 2000228
3 1992213
4 1998165
5 2000128
6 1999111
7 199998
8 200187
9 199976
10 200074
11 200171
12 199435
13 201735
14 199034
15 200033
16 199733
17 199031
18 201713
19 201413
20 201412

About Helmut Romig

Helmut Romig is a scholar working on Molecular Biology, Physiology, Oncology, Cell Biology and Pharmacology, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Genomics and Chromatin Dynamics (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Cellular transport and secretion (3 papers), Cancer therapeutics and mechanisms (2 papers), Protein Structure and Dynamics (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Physiology (1.1k citations), Cell Biology (381 citations), Pharmacology (337 citations), Aging (32 citations) and Molecular Biology (1.1k citations). Helmut Romig has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christian Haass, Harald Steiner, Ralf Baumeister, Brigitte Pesold, Anja Capell, Martin Citron, Frank O. Fackelmayer, Melissa G. Grim, Andrea Renz and A. Richter. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Nature Cell Biology, Biochemistry and SLAS DISCOVERY.

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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