Lakshmi V. Ramanathan

2.8k citations
64 papers · 1.4k indexed · 2 hit papers · h-index 20

Lakshmi V. Ramanathan

57 papers receiving 1.4k citations

Hit Papers

Detection of ovarian cancer via the spectra...1272018202620202023100200300400

Peers

Lakshmi V. Ramanathan
Comparison fields: 5 of 123
  • Endocrinology, Diabetes and Metabolism 420
  • Reproductive Medicine 118
  • Hematology 119
  • Oncology 267
  • Pharmacology 160
Replace Jin‐an Zhang with:
Jin‐an Zhang China
Yuji Tanaka Japan
Leena Patel United Kingdom
Malcolm Boyce United Kingdom
Zhuo Liu China
Yvette N. Lamb New Zealand
Hiroyuki Konaka Japan
Ying Sun China
L.V.K.S. Bhaskar India
Roberto Miano Italy
Lakshmi V. Ramanathan relative to Jin‐an Zhang China Jin‐an Zhang's profile →
Citations per field
00.5×3.1×
Jin‐an Zhang · 1×
Citations per year

Countries citing papers authored by Lakshmi V. Ramanathan

Since Specialization
Citations

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

Fields of papers citing papers by Lakshmi V. Ramanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20246
3 20240
4 20242
5 20237
6 20221
7 202215
8 202232
9
Detection of ovarian cancer via the spectral fingerprinting of quantum-defect-modified carbon nanotubes in serum by machine learningbreakdown →
2022127
10 202141
11 20217
12 20210
13 202063
14 202018
15 20181
16 201837
17 20176
18 201320
19 200846
20 200321

About Lakshmi V. Ramanathan

Lakshmi V. Ramanathan is a scholar working on Hematology, Infectious Diseases and Oncology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Glioma Diagnosis and Treatment (5 papers), Multiple Myeloma Research and Treatments (5 papers), COVID-19 Clinical Research Studies (5 papers), Brain Metastases and Treatment (4 papers), COVID-19 and healthcare impacts (4 papers), Clinical Laboratory Practices and Quality Control (4 papers) and Pesticide Residue Analysis and Safety (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (420 citations), Reproductive Medicine (118 citations) and Hematology (119 citations). Lakshmi V. Ramanathan has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Ronald W. Lewis, Elizabeth A. Platz, J. Bruce Redmon, Deborah J. Lightner, Robert E. Brannigan, Kelly A. Chiles, M. Hassan Murad, John P. Mulhall, Emily G. Kurtz and Christian J. Nelson. Their work appears in journals such as Clinical Biochemistry, Clinical Chemistry, Journal of Chromatography B, Transplantation and Cellular Therapy and Data in Brief.

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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