Anu Cherukuri

2.3k citations
31 papers · 1.8k · h-index 17

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Cell Adhesion Molecules Research

Papers in

    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 6
    • Lipid Membrane Structure and Behavior 6
    • Sphingolipid Metabolism and Signaling 4

Anu Cherukuri

30 papers receiving 1.8k citations

Peers

Anu Cherukuri
Comparison fields: 5 of 101
  • Immunology 904
  • Immunology and Allergy 146
  • Cell Biology 190
  • Molecular Biology 717
  • Radiology, Nuclear Medicine and Imaging 199
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Anu Cherukuri relative to John A. Gebe United States John A. Gebe's profile →
Citations per field
00.5×1.6×
John A. Gebe · 1×
Citations per year

Countries citing papers authored by Anu Cherukuri

Since Specialization
Citations

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

Fields of papers citing papers by Anu Cherukuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anu Cherukuri, 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 Anu Cherukuri Line = papers co-authored together Anu Cherukuri 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 2003402
2 2001197
3 2001175
4 2001144
5 2019135
6 2004105
7 201290
8 200485
9 200881
10 200158
11 200154
12 200150
13 200538
14 201232
15 201825
16 202120
17 201417
18 202315
19 199514
20 199613

About Anu Cherukuri

Anu Cherukuri is a scholar working on Immunology, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (7 papers), Lipid Membrane Structure and Behavior (6 papers), Immunotherapy and Immune Responses (6 papers), Respiratory viral infections research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Sphingolipid Metabolism and Signaling (4 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Immunology (904 citations), Immunology and Allergy (146 citations), Cell Biology (190 citations), Molecular Biology (717 citations) and Radiology, Nuclear Medicine and Imaging (199 citations). Anu Cherukuri has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Susan K. Pierce, Michelle Dykstra, Hae Won Sohn, Paul C. Cheng, Shiang‐Jong Tzeng, Susan K. Pierce, Susan K. Pierce, Stephen R. Brooks, Jennifer Woo and Kathryn Patton. Their work appears in journals such as The Journal of Immunology, Blood, Immunity, Clinical and Vaccine Immunology and Molecular Immunology.

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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