I. Witt

1.3k citations
28 papers · 1.2k · h-index 12

Impact in

Papers in

I. Witt

27 papers receiving 1.0k citations

Peers

I. Witt
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 459
  • Sensory Systems 64
  • Molecular Biology 699
  • Renewable Energy, Sustainability and the Environment 166
  • Endocrine and Autonomic Systems 52
Replace Jane E. Kuk with:
Jane E. Kuk United States
Guy W. J. Moss United Kingdom
Rainer Uhl Germany
Luca Turin United Kingdom
Isao Inoue Japan
Charles L. Schauf United States
Benjamín A. Suárez‐Isla Chile
Fredrik Elinder Sweden
Congying Wang China
Theodore R. Cummins United States
I. Witt relative to Jane E. Kuk United States Jane E. Kuk's profile →
Citations per field
00.5×2×2.8×
Jane E. Kuk · 1×
Citations per year

Countries citing papers authored by I. Witt

Since Specialization
Citations

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

Fields of papers citing papers by I. Witt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993328
2 1960199
3 1987142
4 198782
5 195977
6 198863
7 195844
8 198139
9 198935
10 198227
11 196227
12 195923
13 198211
14 196211
15
Multiple exchange transfusions as treatment during the acute period in maple syrup urine disease.
19729
16 19818
17 19828
18 19576
19 19785
20 19905

About I. Witt

I. Witt is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Dermatology, Clinical Biochemistry and Insect Science, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (8 papers), Photoreceptor and optogenetics research (5 papers), Neurobiology and Insect Physiology Research (4 papers), Circadian rhythm and melatonin (4 papers), Dermatology and Skin Diseases (3 papers), Metabolism and Genetic Disorders (3 papers), Sleep and Wakefulness Research (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (459 citations), Sensory Systems (64 citations), Molecular Biology (699 citations), Renewable Energy, Sustainability and the Environment (166 citations) and Endocrine and Autonomic Systems (52 citations). I. Witt has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Herbert Hensel, Wolfram Saenger, Ainsley Iggo, H. T. Witt, Winfried Hinrichs, Zbigniew Dauter, Jan P. Dekker, Norbert Krauß, Horst Tobias Witt and Christian Betzel. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Endocrinology, Nature, FEBS Letters and The Journal of Physiology.

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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