Ben Gross

28 papers receiving 615 citations

Peers

Ben Gross
Comparison fields: 5 of 105
  • Geriatrics and Gerontology 28
  • Family Practice 12
  • Organic Chemistry 207
  • Molecular Biology 379
  • Molecular Medicine 26
Replace Rajnish Kumar Singh with:
Rajnish Kumar Singh India
Glenn S. Van Aller United States
Patrick W. Lee Canada
Chetan Chintha Ireland
Manikandan Kadirvel United Kingdom
Christopher T. Öberg Sweden
Shingo Takahashi Japan
Michele D. Sobolewski United States
Matteo Simone Italy
Tiancen Hu China
Ben Gross relative to Rajnish Kumar Singh India Rajnish Kumar Singh's profile →
Citations per field
00.5×6.7×
Rajnish Kumar Singh · 1×
Citations per year

Countries citing papers authored by Ben Gross

Since Specialization
Citations

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

Fields of papers citing papers by Ben Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003200
2 2010112
3 200375
4 201353
5 200138
6
Flipped @ SBU: Student Satisfaction and the College Classroom
201531
7 202426
8 201118
9 201115
10 199211
11 20089
12
Balances of Power on eBay: Peers or Unequals?
20039
13 20096
14 20125
15
Case Studies of Applying Machine Learning to Physical Observation
20183
16
I Looked and I Listened: Informal Recollections of Radio and TV
19703
17 20153
18
[Drug-induced hepatic involvement, something to consider!].
19962
19 20222
20 20142

About Ben Gross

Ben Gross is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Organic Chemistry, Pharmacology and Artificial Intelligence, having authored 31 papers that have together received 634 indexed citations. Recurring topics across this work include Diabetes Management and Research (5 papers), Diabetes Treatment and Management (4 papers), Glycosylation and Glycoproteins Research (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Sepsis Diagnosis and Treatment (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Computational Fluid Dynamics and Aerodynamics (2 papers). The work is most often cited by research in Geriatrics and Gerontology (28 citations), Family Practice (12 citations), Organic Chemistry (207 citations), Molecular Biology (379 citations) and Molecular Medicine (26 citations). Ben Gross has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Suzanne Walker, Yanan Hu, Sha Ha, Lan Chen, Deborah Walker, Brian V. Falcone, Lan Chen, Jeremiah S. Helm, Sung Min Ha and M. Shawn McFarland. Their work appears in journals such as Journal of the American Chemical Society, Nature Cell Biology, Annals of Pharmacotherapy, Critical Care and Journal of Community Health.

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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