Jonathan So

954 citations
20 papers · 696 · 1 hit paper · h-index 15

Impact in

Papers in

Jonathan So

20 papers receiving 683 citations

Jonathan So's Hit Papers

AI is a viable alternative to high throughput screening: a 318-target study 2024 · 92 citations
920+1Years since publication255075

Peers

Jonathan So
Comparison fields: 5 of 91
  • Health Informatics 11
  • Cancer Research 61
  • Cell Biology 54
  • Computational Theory and Mathematics 65
  • Psychiatry and Mental health 58
Replace Anthony R. Soltis with:
Anthony R. Soltis United States
Matthew A. Held United States
Lea L. Latham United States
Maria G. Bañuelos United States
Sachin Katyal Canada
Daisy Sproviero Italy
Vincent Collura France
April M. Weissmiller United States
Yuhan Liao China
Jonathan So relative to Anthony R. Soltis United States Anthony R. Soltis's profile →
Citations per field
00.5×2×3×3.7×
Anthony R. Soltis · 1×
Citations per year

Countries citing papers authored by Jonathan So

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan So

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013134
2
AI is a viable alternative to high throughput screening: a 318-target study
Hit paper breakdown →
202492
3 200778
4 202261
5 201950
6 200640
7 201532
8 202124
9 201522
10 202022
11 201721
12 202220
13 201519
14 202218
15 202315
16 202214
17 202011
18 202410
19 20149
20 20204

About Jonathan So

Jonathan So is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Cell Biology, Health Informatics and Molecular Biology, having authored 20 papers that have together received 696 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (4 papers), Glioma Diagnosis and Treatment (3 papers), Cervical Cancer and HPV Research (2 papers), Polymer Surface Interaction Studies (1 paper), Dermatological and Skeletal Disorders (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Health Informatics (11 citations), Cancer Research (61 citations), Cell Biology (54 citations), Computational Theory and Mathematics (65 citations) and Psychiatry and Mental health (58 citations). Jonathan So has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Jerry J. Warsh, Peter P. Li, James R. Maloney, Osman Mahamud, Melvin L.K. Chua, Michael Lee Roukes, Robert Glen Bristow, Justin H. Hwang, Chung-Jui Yu and Jonathan P. Rennhack. Their work appears in journals such as Neuro-Oncology, JCI Insight, BMC Cancer, Developmental Cell and Biological Psychiatry.

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.

Explore authors with similar magnitude of impact