Jennifer Grant

4.0k citations
56 papers · 3.1k indexed · h-index 24

Impact in

Papers in

Jennifer Grant

52 papers receiving 3.0k citations

Peers

Jennifer Grant
Comparison fields: 5 of 156
  • Computational Theory and Mathematics 1.3k
  • Molecular Biology 1.9k
  • Physical and Theoretical Chemistry 203
  • Pharmacology 352
  • Spectroscopy 320
Replace István Kolossváry with:
István Kolossváry Hungary
Goran Krilov United States
Brent A. Gregersen United States
David S. Cerutti United States
Shuanghong Huo United States
Jennifer L. Knight United States
Robert C. Rizzo United States
Thomas E. Exner Germany
Steven L. Dixon United States
Paul D. Lyne United States
Jennifer Grant relative to István Kolossváry Hungary István Kolossváry's profile →
Citations per field
00.5×1.5×
István Kolossváry · 1×
Citations per year

Countries citing papers authored by Jennifer Grant

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Active Ingredients Eligible for Minimum Risk Pesticide Use: Overview of the Profiles
20185
2
Cottonseed Oil Profile
20182
3
Sodium Lauryl Sulfate Profile
20181
4
Mint and Mint Oil Profile
20180
5 201338
6 201337
7 201018
8 2010254
9 200910
10
Clearing the Air on Oil Sands Myths
20092
11 200746
12 200532
13 2002371
14 199717
15 1996204
16 199257
17 199038
18 199063
19 19781
20 19726

About Jennifer Grant

Jennifer Grant is a scholar working on Spectroscopy, Computational Theory and Mathematics, Insect Science, Immunology and Allergy and Molecular Biology, having authored 56 papers that have together received 3.1k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (7 papers), Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers), Enzyme Structure and Function (5 papers), Chemical Synthesis and Analysis (4 papers), Molecular spectroscopy and chirality (4 papers), Advanced Chemical Physics Studies (4 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Molecular Biology (1.9k citations), Physical and Theoretical Chemistry (203 citations), Pharmacology (352 citations) and Spectroscopy (320 citations). Jennifer Grant has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Barry T. Pickup, Anthony Nicholls, M.A. Gallardo, Thomas S. Rush, Anthony Nicholls, Lidia Mosyak, Mark McGann, Harold R. Almond, Frank K. Brown and Harold A. Scheraga. Their work appears in journals such as The Journal of Physical Chemistry, Journal of Computational Chemistry, Environmental Entomology, Journal of Medicinal Chemistry 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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2026