Lakshmi Amaravadi

3.3k citations
45 papers · 2.1k indexed · h-index 18

Lakshmi Amaravadi

44 papers receiving 2.0k citations

Peers

Lakshmi Amaravadi
Comparison fields: 5 of 111
  • Immunology 974
  • Radiology, Nuclear Medicine and Imaging 557
  • Neurology 156
  • Molecular Biology 1.1k
  • Oncology 373
Replace О. О. Фаворова with:
О. О. Фаворова Russia
Brian T. Wipke United States
Deborah A. Shackelford United States
Joseph C. Marini United States
Bart‐Jan Kroesen Netherlands
Song‐Yi Yao United States
Laurent Gros France
Eric Campeau United States
Karl N. Miller United States
Shinichiro Nakamura Japan
Lakshmi Amaravadi relative to О. О. Фаворова Russia О. О. Фаворова's profile →
Citations per field
00.5×1.7×
О. О. Фаворова · 1×
Citations per year

Countries citing papers authored by Lakshmi Amaravadi

Since Specialization
Citations

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

Fields of papers citing papers by Lakshmi Amaravadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201812
2 201715
3 20162
4 20151
5 20152
6 201448
7 201440
8 201486
9 20132
10 201353
11 20131
12 20112
13 201065
14 2009179
15 200910
16 2002190
17 1999411
18 199937
19 199732
20
A rapid and efficient, nonradioactive method for screening recombinant DNA libraries.
199429

About Lakshmi Amaravadi

Lakshmi Amaravadi is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 45 papers that have together received 2.1k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (21 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Advanced Biosensing Techniques and Applications (11 papers), Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (4 papers), Protein purification and stability (4 papers) and Clinical Laboratory Practices and Quality Control (4 papers). The work is most often cited by research in Immunology (974 citations), Radiology, Nuclear Medicine and Imaging (557 citations) and Neurology (156 citations). Lakshmi Amaravadi has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Boris Gorovits, Holly W. Smith, Gopi Shankar, Valerie Quarmby, Alvydas Mikulskis, Deborah Finco‐Kent, Wendell C. Smith, Eugen Koren, Linda A. Zuckerman and Yu Chen Barrett. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Neurology.

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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