Martin Schaffer

1.6k citations
25 papers · 1.5k · h-index 13

Impact in

Papers in

Martin Schaffer

25 papers receiving 1.3k citations

Peers

Martin Schaffer
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 672
  • Aging 33
  • Insect Science 221
  • Psychiatry and Mental health 136
  • Genetics 247
Replace C. Hilbich with:
C. Hilbich Germany
Günter Gisselmann Germany
Victoria L. Harvey United Kingdom
Angelo Keramidas Australia
Michael F. Goy United States
Roel C. van der Schors Netherlands
Purnima Deshpande United States
Susan P. Rohrer United States
Carlo Taddei Italy
Kate Loughney United States
Martin Schaffer relative to C. Hilbich Germany C. Hilbich's profile →
Citations per field
00.5×1.5×2.4×
C. Hilbich · 1×
Citations per year

Countries citing papers authored by Martin Schaffer

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973304
2 1978210
3 1984207
4 1985149
5 1999125
6 199586
7 199084
8 198677
9 200042
10 197637
11 197931
12 199026
13 197615
14 197211
15 198610
16 19769
17
Guanosine anabolism for biosynthesis of nucleic acids in Novikoff ascites rat tumor cells in culture.
19739
18 19829
19 19937
20 19875

About Martin Schaffer

Martin Schaffer is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Cell Biology and Biochemistry, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Insect and Arachnid Ecology and Behavior (6 papers), Amino Acid Enzymes and Metabolism (4 papers), Hemoglobin structure and function (4 papers), Plant and fungal interactions (3 papers), Chemical synthesis and alkaloids (3 papers), Metabolism and Genetic Disorders (2 papers) and Insect Resistance and Genetics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (672 citations), Aging (33 citations), Insect Science (221 citations), Psychiatry and Mental health (136 citations) and Genetics (247 citations). Martin Schaffer has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Michael O’Shea, George R. Stark, Thomas Vanaman, Gary R. Jacobson, Carol A. Tamminga, John M. Davis, Robert C. Smith, Kenneth L. Rinehart, James C. Cook and Mark E. Hemling. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, DNA and Cell Biology, Annual Review of Neuroscience and Biochemical Journal.

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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