Sahil Chopra

1.7k citations
11 papers · 809 indexed · 1 hit paper · h-index 8
Topics
Endoplasmic Reticulum Stress and Disease (3 papers)Machine Learning in Healthcare (2 papers)Topic Modeling (2 papers)
Partner nations
United StatesIndiaSpain

In The Last Decade

Sahil Chopra

11 papers receiving 802 citations

Hit Papers

ER Stress Sensor XBP1 Controls Anti-tumor Immunity by Dis...20152026201820222015200400600

Peers

Sahil Chopra
Comparison fields: 5 of 91
  • Immunology 384
  • Molecular Biology 264
  • Cell Biology 240
  • Oncology 183
  • Epidemiology 167
Replace Hsin‐Yi Tseng with:
Hsin‐Yi Tseng Australia
Yvonne Vercoulen Netherlands
Mariafausta Fischietti United States
Miaojun Han United States
Wuhua Zhou China
Dehong Yan China
Mingyao Huang China
Qiuyang Chen China
Jialei Weng China
Sahil Chopra relative to Hsin‐Yi Tseng Australia Hsin‐Yi Tseng's profile →
Citations per field
00.5×1.5×1.8×
Hsin‐Yi Tseng · 1×
Citations per year

Countries citing papers authored by Sahil Chopra

Since Specialization
Citations

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

Fields of papers citing papers by Sahil Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahil Chopra

This figure shows the co-authorship network connecting the top 25 collaborators of Sahil Chopra. A scholar is included among the top collaborators of Sahil Chopra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sahil Chopra. Sahil Chopra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 5
2 26
3 8
4
The first crank of the cultural ratchet: Learning and transmitting concepts through language.
7
5 14
6 5
7 1
8 10
9 41
10
ER Stress Sensor XBP1 Controls Anti-tumor Immunity by Disrupting Dendritic Cell Homeostasisbreakdown →
684
11 8

About Sahil Chopra

Sahil Chopra is a scholar working on Anesthesiology and Pain Medicine, Endocrinology and Cell Biology, having authored 11 papers that have together received 809 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Machine Learning in Healthcare (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Immunology (384 citations), Cell Biology (240 citations) and Cancer Research (155 citations). Sahil Chopra has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Juan R. Cubillos‐Ruiz, Divya Gupta, Minkyung Song, Sheng Zhang, Kevin Holcomb, José R. Conejo-García, Thomas A. Caputo, Ann–Hwee Lee, Alfredo Perales‐Puchalt and Lora H. Ellenson. Their work appears in journals such as Cell, Journal of Clinical Investigation and Nature Communications.

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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