Rajaram Krishnan

548 total citations
11 papers, 296 citations indexed

About

Rajaram Krishnan is a scholar working on Biomedical Engineering, Molecular Biology and Physical and Theoretical Chemistry. According to data from OpenAlex, Rajaram Krishnan has authored 11 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 2 papers in Molecular Biology and 2 papers in Physical and Theoretical Chemistry. Recurrent topics in Rajaram Krishnan's work include Microfluidic and Bio-sensing Technologies (10 papers), Nanopore and Nanochannel Transport Studies (5 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). Rajaram Krishnan is often cited by papers focused on Microfluidic and Bio-sensing Technologies (10 papers), Nanopore and Nanochannel Transport Studies (5 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). Rajaram Krishnan collaborates with scholars based in United States and Netherlands. Rajaram Krishnan's co-authors include Michael J. Heller, Jennifer Y. Marciniak, Sadik C. Esener, Benjamin D. Sullivan, Jonathan M. Harris, Neva Goodwin, Laura Z. Rassenti, Thomas J. Kipps, Juan Pablo Hinestrosa and Jean M. Lewis and has published in prestigious journals such as Cancer Research, Electrochemistry Communications and Electrophoresis.

In The Last Decade

Rajaram Krishnan

11 papers receiving 280 citations

Peers

Rajaram Krishnan

BE

EEE

MB

CR

PTC

Hyungseok Cho South Korea

Sareh Manouchehri United States

Dongya Cui China

Julien Autebert France

Wai Min Phyo Singapore

Gaëlle Bégaud France

Tengyang Jing Singapore

Claudia Berdugo United States

Giorgia Celetti Italy

Khashayar Moshksayan Iran

Hyungseok Cho South Korea

Rajaram Krishnan

285 ×1.3

BE

60 ×0.7

EEE

55 ×0.9

MB

60 ×1.8

CR

10 ×0.5

PTC

Citations per year, relative to Rajaram Krishnan Rajaram Krishnan (= 1×) peers Hyungseok Cho

Countries citing papers authored by Rajaram Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Rajaram Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajaram Krishnan

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

All Works

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11 of 11 papers shown

1.

Hinestrosa, Juan Pablo, Jean M. Lewis, Heath I. Balcer, et al.. (2022). Abstract 5960: Blood-based extracellular vesicle biomarker test for detection of early-stage pancreatic cancer. Cancer Research. 82(12_Supplement). 5960–5960. 1 indexed citations

2.

Hinestrosa, Juan Pablo, et al.. (2022). Abstract 727: Detection of early-stage lung cancer using a liquid biopsy test based on extracellular vesicle proteins. Cancer Research. 82(12_Supplement). 727–727. 2 indexed citations

3.

Hinestrosa, Juan Pablo, Jean M. Lewis, Alfred Kinana, et al.. (2020). Simultaneous Isolation of Circulating Nucleic Acids and EV-Associated Protein Biomarkers From Unprocessed Plasma Using an AC Electrokinetics-Based Platform. Frontiers in Bioengineering and Biotechnology. 8. 581157–581157. 16 indexed citations

4.

Madsen, James A., et al.. (2018). Cancer Detection at your Fingertips: Smartphone-Enabled DNA Testing. PubMed. 2018. 5418–5421. 3 indexed citations

5.

Marciniak, Jennifer Y., et al.. (2013). Dielectrophoretic isolation and detection of cfc‐DNA nanoparticulate biomarkers and virus from blood. Electrophoresis. 34(7). 1076–1084. 63 indexed citations

6.

Marciniak, Jennifer Y., et al.. (2012). Dielectrophoretic isolation of DNA and nanoparticles from blood. Electrophoresis. 33(16). 2482–2490. 60 indexed citations

7.

Krishnan, Rajaram, et al.. (2011). An AC Electrokinetic Device for the rapid separation and detection of cancer related DNA nanoparticulate biomarkers. Lund University Publications (Lund University). 2. 373–376. 2 indexed citations

8.

Krishnan, Rajaram, et al.. (2009). Interaction of nanoparticles at the DEP microelectrode interface under high conductance conditions. Electrochemistry Communications. 11(8). 1661–1666. 27 indexed citations

9.

Krishnan, Rajaram & Michael J. Heller. (2009). An AC electrokinetic method for enhanced detection of DNA nanoparticles. Journal of Biophotonics. 2(4). 253–261. 21 indexed citations

10.

Krishnan, Rajaram, et al.. (2008). Alternating current electrokinetic separation and detection of DNA nanoparticles in high‐conductance solutions. Electrophoresis. 29(9). 1765–1774. 66 indexed citations

11.

Krishnan, Rajaram, Jonathan M. Harris, & Neva Goodwin. (1995). A Survey of ecological economics. 35 indexed citations

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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