A. Krämer

6.7k citations
39 papers · 4.4k · 1 hit paper · h-index 12

Impact in

Papers in

A. Krämer

36 papers receiving 4.3k citations

A. Krämer's Hit Papers

Causal analysis approaches in Ingenuity Pathway Analysis 2013 · 4.0k citations
4.0k0+4+8Years since publication10002.0k3.0k4.0k

Peers

A. Krämer
Comparison fields: 5 of 159
  • Cancer Research 510
  • Immunology 549
  • Molecular Biology 1.8k
  • Biological Psychiatry 59
  • Neurology 173
Replace Toru Yanagawa with:
Toru Yanagawa Japan
Edward Y. Chen United States
Simon Lin United States
Neil R. Clark United States
Pengfei Li China
Christopher M. Tan United States
Fang Jin China
Sylva L. Donaldson Canada
Feng‐Xia Liang United States
Stuart Tugendreich United States
A. Krämer relative to Toru Yanagawa Japan Toru Yanagawa's profile →
Citations per field
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Toru Yanagawa · 1×
Citations per year

Countries citing papers authored by A. Krämer

Since Specialization
Citations

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

Fields of papers citing papers by A. Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Causal analysis approaches in Ingenuity Pathway Analysis
Hit paper breakdown →
20134022
2 199439
3 200335
4 201227
5 199627
6 199222
7 200121
8 199820
9 199718
10 199313
11 199712
12 199012
13 200211
14 200211
15 20219
16
Compact EEPROM-based Weight Functions
19907
17 19947
18 20036
19 20176
20 20026

About A. Krämer

A. Krämer is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 39 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Physics of Superconductivity and Magnetism (8 papers), Neural Networks and Applications (6 papers), CCD and CMOS Imaging Sensors (6 papers), Semiconductor materials and devices (5 papers), Theoretical and Computational Physics (5 papers), Bioinformatics and Genomic Networks (5 papers) and Advanced Condensed Matter Physics (4 papers). The work is most often cited by research in Cancer Research (510 citations), Immunology (549 citations), Molecular Biology (1.8k citations), Biological Psychiatry (59 citations) and Neurology (173 citations). A. Krämer has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Stuart Tugendreich, Jeff Green, Jack Pollard, Hans W. Horn, Julia E. Rice, Miodrag L. Kulić, J. Lazzaro, John Wawrzynek, Sebastian Doniach and P.K. Ko. Their work appears in journals such as Physical review. B, Condensed matter, IEEE Micro, Physica C Superconductivity, Solid State Communications and Journal of Computer-Aided Molecular Design.

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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