Daniel Kümmel

2.9k citations
67 papers · 1.8k indexed · h-index 25

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 1%
    • Calcium signaling and nucleotide metabolism
    • Erythrocyte Function and Pathophysiology

Papers in

    • Calcium signaling and nucleotide metabolism 12
    • Erythrocyte Function and Pathophysiology 7
    • Cellular transport and secretion 35
    • Endoplasmic Reticulum Stress and Disease 11

Daniel Kümmel

62 papers receiving 1.8k citations

Peers

Daniel Kümmel
Comparison fields: 5 of 96
  • Cell Biology 1.1k
  • Physiology 259
  • Molecular Biology 1.3k
  • Physiology 242
  • Cellular and Molecular Neuroscience 142
Replace Aymelt Itzen with:
Aymelt Itzen Germany
Jack Rohrer Switzerland
Dániel Ungár United Kingdom
Fernando Aniento Spain
Adriana L. Rojas Spain
Angelika Giner Germany
Cordula Harter Germany
Jennifer Lippincott‐Schwartz United States
Marina Vietri Norway
Abul K. Tarafder United Kingdom
Daniel Kümmel relative to Aymelt Itzen Germany Aymelt Itzen's profile →
Citations per field
00.5×1.5×
Aymelt Itzen · 1×
Citations per year

Countries citing papers authored by Daniel Kümmel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kümmel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007163
2 2011130
3 201186
4 201174
5 201873
6 201462
7 201760
8 202056
9 201453
10 201951
11 200549
12 202247
13 201445
14 201342
15 200642
16 200440
17 202139
18 202039
19 202237
20 200536

About Daniel Kümmel

Daniel Kümmel is a scholar working on Physiology, Cell Biology, Molecular Biology, Physiology and Molecular Medicine, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (35 papers), Calcium signaling and nucleotide metabolism (12 papers), Lipid Membrane Structure and Behavior (12 papers), Endoplasmic Reticulum Stress and Disease (11 papers), RNA and protein synthesis mechanisms (8 papers), Erythrocyte Function and Pathophysiology (7 papers), Protein Structure and Dynamics (6 papers) and Retinal Development and Disorders (6 papers). The work is most often cited by research in Cell Biology (1.1k citations), Physiology (259 citations), Molecular Biology (1.3k citations), Physiology (242 citations) and Cellular and Molecular Neuroscience (142 citations). Daniel Kümmel has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Christian Ungermann, Udo Heinemann, Karin M. Reinisch, Lars Langemeyer, Feng Li, Konrad Büssow, James E. Rothman, Frédéric Pincet, Christoph Scheich and Shyam S. Krishnakumar. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, eLife, Current Opinion in Cell Biology and Journal of Virology.

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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