Ashok Khatri

50 papers receiving 1.9k citations

Hit Papers

T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals 2022 · 157 citations
157202220262023202450100150

Peers

Ashok Khatri
Comparison fields: 5 of 107
  • Virology 221
  • Developmental Neuroscience 120
  • Critical Care and Intensive Care Medicine 116
  • Biochemistry 142
  • Infectious Diseases 303
Replace Aditi A. Kapasi with:
Aditi A. Kapasi United States
Christiane Rordorf Switzerland
Glòria Garrabou Spain
Nora Gibbons United States
Rebecca L Roberts New Zealand
Angelo Guglielmotti Italy
Mark Worthington United States
Hiroko Shimizu Japan
Eckart Schott Germany
Jayson Rieger United States
Ashok Khatri relative to Aditi A. Kapasi United States Aditi A. Kapasi's profile →
Citations per field
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Aditi A. Kapasi · 1×
Citations per year

Countries citing papers authored by Ashok Khatri

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Khatri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20253
4 20242
5 20233
6 20238
7 202330
8
T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals
Hit paper breakdown →
2022157
9 2021133
10 201470
11 201333
12 201322
13 201296
14 201271
15 201274
16 200530
17 200435
18 200191
19 2001158
20 199920

About Ashok Khatri

Ashok Khatri is a scholar working on Developmental Neuroscience, Structural Biology, Virology, Critical Care and Intensive Care Medicine and Nephrology, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bone health and treatments (12 papers), Metabolism, Diabetes, and Cancer (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Fibroblast Growth Factor Research (8 papers), Chemical Synthesis and Analysis (5 papers), Receptor Mechanisms and Signaling (5 papers), Parathyroid Disorders and Treatments (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Virology (221 citations), Developmental Neuroscience (120 citations), Critical Care and Intensive Care Medicine (116 citations), Biochemistry (142 citations) and Infectious Diseases (303 citations). Ashok Khatri has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Thomas J. Gardella, Thomas Dean, Bruce D. Walker, John T. Potts, Christian Brander, Fumito Ichinose, Kentaro Tokuda, Kotaro Kida, Eizo Marutani and Eric Rosenberg. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bone and Mineral Research, Proceedings of the National Academy of Sciences, JBMR Plus and Endocrinology.

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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