Saranya Ramakrishnan

3.4k total citations · 1 hit paper
8 papers, 2.3k citations indexed

About

Saranya Ramakrishnan is a scholar working on Molecular Biology, Education and Surgery. According to data from OpenAlex, Saranya Ramakrishnan has authored 8 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Education and 1 paper in Surgery. Recurrent topics in Saranya Ramakrishnan's work include Histone Deacetylase Inhibitors Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Chronic Disease Management Strategies (1 paper). Saranya Ramakrishnan is often cited by papers focused on Histone Deacetylase Inhibitors Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Chronic Disease Management Strategies (1 paper). Saranya Ramakrishnan collaborates with scholars based in United States, United Kingdom and Australia. Saranya Ramakrishnan's co-authors include Ben A. Barres, Soyon Hong, Arnaud Frouin, Cynthia A. Lemere, Beth Stevens, Shaomin Li, Dennis J. Selkoe, Qiaoqiao Shi, Arnon Rosenthal and Lei He and has published in prestigious journals such as Science, Cancer Research and BMC Public Health.

In The Last Decade

Saranya Ramakrishnan

7 papers receiving 2.3k citations

Hit Papers

Complement and microglia ... 2016 2026 2019 2022 2016 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saranya Ramakrishnan United States 5 1.5k 964 531 524 431 8 2.3k
Julie C. Savage Canada 20 1.4k 0.9× 727 0.8× 537 1.0× 753 1.4× 348 0.8× 31 2.6k
Arnaud Frouin United States 4 1.9k 1.2× 1.1k 1.1× 668 1.3× 760 1.5× 826 1.9× 4 2.9k
Kanchan Bisht Canada 21 1.6k 1.1× 502 0.5× 602 1.1× 507 1.0× 341 0.8× 35 2.5k
Samuel E. Marsh United States 11 1.7k 1.1× 643 0.7× 909 1.7× 715 1.4× 372 0.9× 13 2.5k
Zhuoran Yin United States 14 1.1k 0.7× 683 0.7× 529 1.0× 481 0.9× 200 0.5× 17 1.8k
Allysa Cole United States 7 892 0.6× 712 0.7× 337 0.6× 427 0.8× 262 0.6× 8 1.5k
Allison R. Najafi United States 11 2.5k 1.6× 744 0.8× 1.1k 2.1× 425 0.8× 501 1.2× 12 3.1k
Madhuvika Murugan United States 26 1.5k 1.0× 984 1.0× 482 0.9× 580 1.1× 966 2.2× 44 2.9k
Chotima Böttcher Germany 18 2.1k 1.3× 396 0.4× 1.2k 2.3× 700 1.3× 271 0.6× 40 2.8k
Kurt M. Lucin United States 11 866 0.6× 984 1.0× 321 0.6× 593 1.1× 355 0.8× 14 2.5k

Countries citing papers authored by Saranya Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Saranya Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saranya Ramakrishnan

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

All Works

8 of 8 papers shown
1.
Kolluri, Raghu, Marzia Lugli, Ramon L. Varcoe, et al.. (2021). An estimate of the economic burden of venous leg ulcers associated with deep venous disease. Vascular Medicine. 27(1). 63–72. 43 indexed citations
2.
Ramakrishnan, Saranya, et al.. (2021). A qualitative study documenting unmet needs in the management of diabetic kidney disease (DKD) in the primary care setting. BMC Public Health. 21(1). 930–930. 7 indexed citations
3.
Ramakrishnan, Saranya, et al.. (2021). Prognostication of Covid-19 and Heart Disease: A Combined Approach. 13. 1–6. 1 indexed citations
4.
Ramakrishnan, Saranya, et al.. (2017). Rethinking cross-cultural adaptability using behavioral developmental theory: An analysis of different migrant behaviors.. Behavioral Development. 23(2). 138–152. 5 indexed citations
5.
Hong, Soyon, Arnaud Frouin, Shaomin Li, et al.. (2016). Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science. 352(6286). 712–716. 2223 indexed citations breakdown →
6.
Ramakrishnan, Saranya, et al.. (2016). Isolating occupational interests of academics to identify metrics of success.. Behavioral Development. 21(2). 240–246. 1 indexed citations
7.
He, Lei, Kristine Torres‐Lockhart, Nicole Forster, et al.. (2013). Abstract LB-212: Mcl-1 and FBW7 control a dominant survival pathway underlying HDAC and Bcl-2 inhibitor synergy in squamous cell carcinoma.. Cancer Research. 73(8_Supplement). LB–212. 1 indexed citations
8.
He, Lei, Kristine Torres‐Lockhart, Nicole Forster, et al.. (2012). Mcl-1 and FBW7 Control a Dominant Survival Pathway Underlying HDAC and Bcl-2 Inhibitor Synergy in Squamous Cell Carcinoma. Cancer Discovery. 3(3). 324–337. 54 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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