H.J. Imker

44 papers receiving 1.7k citations

H.J. Imker's Hit Papers

Enzyme Function Initiative-Enzyme Similarity Tool (EFI-EST): A web tool for generating protein sequence similarity networks 2015 · 648 citations
6480+3+7Years since publication200400600

Peers

H.J. Imker
Comparison fields: 5 of 128
  • Pharmacology 357
  • Biochemistry 119
  • Molecular Biology 1.1k
  • Information Systems and Management 108
  • Biotechnology 123
Replace Sylvie Michel with:
Sylvie Michel France
Yanli Wang China
Jing He China
Yoshikazu Yamamoto Japan
Thomas Steger‐Hartmann Germany
Paul Brereton United Kingdom
Elvira Romero Netherlands
Jin‐Baek Kim South Korea
Lisa Jeske Germany
Masamitsu Honma Japan
H.J. Imker relative to Sylvie Michel France Sylvie Michel's profile →
Citations per field
00.5×10×13.5×
Sylvie Michel · 1×
Citations per year

Countries citing papers authored by H.J. Imker

Since Specialization
Citations

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

Fields of papers citing papers by H.J. Imker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.J. Imker. 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 H.J. Imker. The network helps show where H.J. Imker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enzyme Function Initiative-Enzyme Similarity Tool (EFI-EST): A web tool for generating protein sequence similarity networks
Hit paper breakdown →
2015648
2 2011141
3 200492
4 201081
5 201079
6 200776
7 201269
8 200956
9 200748
10 201245
11 200942
12 200841
13 201538
14 201831
15 200825
16 201825
17 201719
18 202118
19 201816
20 201615

About H.J. Imker

H.J. Imker is a scholar working on Information Systems, Information Systems and Management, Molecular Biology, Management Science and Operations Research and Materials Chemistry, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Research Data Management Practices (22 papers), Scientific Computing and Data Management (19 papers), Data Quality and Management (14 papers), Enzyme Structure and Function (7 papers), Amino Acid Enzymes and Metabolism (5 papers), Biochemical Acid Research Studies (3 papers), Protein Structure and Dynamics (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Pharmacology (357 citations), Biochemistry (119 citations), Molecular Biology (1.1k citations), Information Systems and Management (108 citations) and Biotechnology (123 citations). H.J. Imker has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include J.A. Gerlt, Boris Sadkhin, Jason T. Bouvier, K.L. Whalen, Christopher T. Walsh, Steven C. Almo, А.А. Федоров, E.V. Fedorov, Matthew P. Jacobson and Patricia C. Babbitt. Their work appears in journals such as Biochemistry, Data Science Journal, Nature Chemical Biology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and PLoS ONE.

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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