H. Ronald Kaback

1.5k citations
21 papers · 1.3k indexed · h-index 18
    • Amino Acid Enzymes and Metabolism 6
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology 14
    • DNA and Nucleic Acid Chemistry 8
    • Advanced biosensing and bioanalysis techniques 4
    • Protein Structure and Dynamics 2
    • DNA Repair Mechanisms 2
  • Biophysics top 5%
    • Enzyme Structure and Function 7
    • Drug Transport and Resistance Mechanisms 2

H. Ronald Kaback

21 papers receiving 1.3k citations

Peers

H. Ronald Kaback
Comparison fields: 5 of 79
  • Biochemistry 273
  • Genetics 507
  • Molecular Biology 944
  • Biophysics 62
  • Materials Chemistry 369
Replace Jianhua Wu with:
Jianhua Wu United States
Jen-Shiang Hong United States
E.A. Pratt United States
P.S. Ledvina United States
Yilmaz Alguel United Kingdom
Franck Borel France
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Y Anraku Japan
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Citations per field
00.5×3.6×
Jianhua Wu · 1×
Citations per year

Countries citing papers authored by H. Ronald Kaback

Since Specialization
Citations

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

Fields of papers citing papers by H. Ronald Kaback

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201754
2 2001252
3 199552
4 199517
5 199525
6 199544
7 199451
8 199461
9 199432
10 199346
11 1993102
12 199330
13 199390
14 199255
15 199212
16 199211
17 198923
18 198955
19 198981
20 198843

About H. Ronald Kaback

H. Ronald Kaback is a scholar working on Biochemistry, Genetics and Molecular Biology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), DNA and Nucleic Acid Chemistry (8 papers), Enzyme Structure and Function (7 papers), Amino Acid Enzymes and Metabolism (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Protein Structure and Dynamics (2 papers), DNA Repair Mechanisms (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Biochemistry (273 citations), Genetics (507 citations) and Molecular Biology (944 citations). H. Ronald Kaback has collaborated with scholars based in United States, India and France. Frequent co-authors include Miklós Sahin‐Tóth, Adam B. Weinglass, Kirsten Jung, Heinrich Jung, R L Dunten, Gilbert G. Privé, Paul D. Roepe, John C. Voss, Stathis Frillingos and Jian Wu. Their work appears in journals such as Biochemistry, Scientific Reports, Journal of Bioenergetics and Biomembranes, Protein Science and The Journal of Membrane Biology.

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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