Kim A. Sharp

26.9k citations
150 papers · 22.7k indexed · 10 hit papers · h-index 65

Kim A. Sharp

146 papers receiving 22.2k citations

Hit Papers

The Common Feature of Leukemia-As...1.5k198620261999201210002.0k3.0k4.0k

Peers

Kim A. Sharp
Comparison fields: 5 of 179
  • Physical and Theoretical Chemistry 2.2k
  • Molecular Biology 15.7k
  • Filtration and Separation 362
  • Atomic and Molecular Physics, and Optics 3.8k
  • Spectroscopy 2.0k
Replace Darrin M. York with:
Darrin M. York United States
Wendy D. Cornell United States
L. Perera United States
Hsing Lee United States
Christopher I. Bayly United States
Ulrich Essmann United States
Giovanni Ciccotti Italy
J.R. Haak Netherlands
Johan P. M. Postma Netherlands
Giovanni Bussi Italy
Kim A. Sharp relative to Darrin M. York United States Darrin M. York's profile →
Citations per field
00.5×1.5×
Darrin M. York · 1×
Citations per year

Countries citing papers authored by Kim A. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Kim A. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20198
2 20184
3 2017133
4 201443
5
The Common Feature of Leukemia-Associated IDH1 and IDH2 Mutations Is a Neomorphic Enzyme Activity Converting α-Ketoglutarate to 2-Hydroxyglutaratebreakdown →
20101483
6 200917
7 200820
8 200742
9 2006127
10 200558
11 200323
12 200347
13 200269
14 1997141
15 199642
16 199587
17 199413
18 199463
19 1993424
20 199282

About Kim A. Sharp

Kim A. Sharp is a scholar working on Physical and Theoretical Chemistry, Filtration and Separation and Spectroscopy, having authored 150 papers that have together received 22.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (65 papers), Spectroscopy and Quantum Chemical Studies (38 papers), Enzyme Structure and Function (24 papers), DNA and Nucleic Acid Chemistry (18 papers), Mass Spectrometry Techniques and Applications (12 papers), Advanced Thermodynamics and Statistical Mechanics (12 papers), RNA and protein synthesis mechanisms (11 papers) and Photosynthetic Processes and Mechanisms (11 papers). The work is most often cited by research in Physical and Theoretical Chemistry (2.2k citations), Molecular Biology (15.7k citations) and Filtration and Separation (362 citations). Kim A. Sharp has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Barry Honig, Anthony Nicholls, Doree Sitkoff, Michael K. Gilson, Ninad V. Prabhu, Bhupinder Madan, Jane M. Vanderkooi, An‐Suei Yang, Richard Fine and Richard A. Friedman. Their work appears in journals such as The Journal of Physical Chemistry B, Proteins Structure Function and Bioinformatics, Biophysical Journal, The Journal of Physical Chemistry and Biophysical Chemistry.

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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