Kahini A. Vaid

1.1k citations
15 papers · 869 indexed · 1 hit paper · h-index 10
Topics
Liver Disease Diagnosis and Treatment (6 papers)Liver Diseases and Immunity (4 papers)Pediatric Hepatobiliary Diseases and Treatments (4 papers)

In The Last Decade

Kahini A. Vaid

15 papers receiving 863 citations

Hit Papers

Hepatocyte mitochondria-derived danger signals directly a...2020202620222024202050100150200

Peers

Kahini A. Vaid
Comparison fields: 5 of 73
  • Epidemiology 402
  • Hepatology 339
  • Molecular Biology 297
  • Surgery 183
  • Cell Biology 136
Replace Adel Hammoutène with:
Adel Hammoutène France
Satoshi Matsumura Japan
Kelly McDaniel United States
Núria Tarrats United Kingdom
Giammarco Fava Italy
Jack Leslie United Kingdom
Nanthakumar Subramaniam Australia
Saioa Goñi Spain
Ian B. Nicoud United States
Jinren Zhou China
Kahini A. Vaid relative to Adel Hammoutène France Adel Hammoutène's profile →
Citations per field
00.5×3.7×
Adel Hammoutène · 1×
Citations per year

Countries citing papers authored by Kahini A. Vaid

Since Specialization
Citations

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

Fields of papers citing papers by Kahini A. Vaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kahini A. Vaid

This figure shows the co-authorship network connecting the top 25 collaborators of Kahini A. Vaid. A scholar is included among the top collaborators of Kahini A. Vaid 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 Kahini A. Vaid. Kahini A. Vaid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 3
2 7
3
Hepatocyte mitochondria-derived danger signals directly activate hepatic stellate cells and drive progression of liver fibrosisbreakdown →
228
4 48
5 45
6 57
7 1
8 19
9 1
10 19
11 29
12 219
13 1
14 99
15 93

About Kahini A. Vaid

Kahini A. Vaid is a scholar working on Hepatology, Physiology and Epidemiology, having authored 15 papers that have together received 869 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Liver Diseases and Immunity (4 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). The work is most often cited by research in Hepatology (339 citations), Epidemiology (402 citations) and Physiology (43 citations). Kahini A. Vaid has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yury Popov, Deanna Sverdlov, Ping An, Susan B. Liu, Shuangshuang Zhao, Naoki Ikenaga, Zhenwei Peng, Michelle Lai, Makoto Miyamoto and Kaori Kuramitsu. Their work appears in journals such as Nature Communications, Hepatology and Gut.

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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