Manohar Ratnam

6.6k total citations · 1 hit paper
103 papers, 5.5k citations indexed

About

Manohar Ratnam is a scholar working on Molecular Biology, Rheumatology and Hematology. According to data from OpenAlex, Manohar Ratnam has authored 103 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 22 papers in Rheumatology and 22 papers in Hematology. Recurrent topics in Manohar Ratnam's work include Retinoids in leukemia and cellular processes (16 papers), Estrogen and related hormone effects (16 papers) and Folate and B Vitamins Research (16 papers). Manohar Ratnam is often cited by papers focused on Retinoids in leukemia and cellular processes (16 papers), Estrogen and related hormone effects (16 papers) and Folate and B Vitamins Research (16 papers). Manohar Ratnam collaborates with scholars based in United States, United Kingdom and Netherlands. Manohar Ratnam's co-authors include John F. Ross, P. K. Chaudhuri, Marcela D Salazar, James H. Freisheim, William T. Gunning, Xuan Zheng, Feng Shen, Jon Lindstrom, Huiling Qi and Jean Rivier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Manohar Ratnam

102 papers receiving 5.4k citations

Hit Papers

Differential regulation of folate receptor isoforms in no... 1994 2026 2004 2015 1994 250 500 750

Peers

Manohar Ratnam
John Hood United States
Barton A. Kamen United States
B A Kamen United States
Christopher P. Leamon United States
Young Mo Kang South Korea
Zhenfeng Duan United States
Nadia Carlesso United States
John Hood United States
Manohar Ratnam
Citations per year, relative to Manohar Ratnam Manohar Ratnam (= 1×) peers John Hood

Countries citing papers authored by Manohar Ratnam

Since Specialization
Citations

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

Fields of papers citing papers by Manohar Ratnam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manohar Ratnam

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

All Works

20 of 20 papers shown
1.
Ducker, Charles, Seongho Kim, Sally Yurgelevic, et al.. (2023). The Small Molecule Antagonist KCI807 Disrupts Association of the Amino-Terminal Domain of the Androgen Receptor with ELK1 by Modulating the Adjacent DNA Binding Domain. Molecular Pharmacology. 103(4). 211–220. 2 indexed citations
2.
Ducker, Charles, Manohar Ratnam, Peter E. Shaw, & Robert Layfield. (2022). Comparative analysis of protein expression systems and PTM landscape in the study of transcription factor ELK-1. Protein Expression and Purification. 203. 106216–106216. 2 indexed citations
3.
Purrington, Kristen S., David H. Gorski, Michael S. Simon, et al.. (2020). Racial differences in estrogen receptor staining levels and implications for treatment and survival among estrogen receptor positive, HER2-negative invasive breast cancers. Breast Cancer Research and Treatment. 181(1). 145–154. 11 indexed citations
4.
Ratnam, Manohar, et al.. (2019). Design and Control of Acetaldehyde Production Process. 1(1). 11–21. 1 indexed citations
5.
Ratnam, Manohar, et al.. (2019). Design and Control of Acrylic Acid Production Process. 1(1). 1–10. 1 indexed citations
6.
Ratnam, Manohar, et al.. (2019). Design and Control of Ethyl Acetate Production Process. 2(1). 9–20.
7.
Rosati, Rayna, Lisa Polin, Charles Ducker, et al.. (2018). Strategy for Tumor-Selective Disruption of Androgen Receptor Function in the Spectrum of Prostate Cancer. Clinical Cancer Research. 24(24). 6509–6522. 16 indexed citations
8.
Lawhorn‐Crews, Jawana M., Lisa Polin, Shirish M. Gadgeel, et al.. (2018). Using Radiolabeled 3′-Deoxy-3′-18F-Fluorothymidine with PET to Monitor the Effect of Dexamethasone on Non–Small Cell Lung Cancer. Journal of Nuclear Medicine. 59(10). 1544–1550. 9 indexed citations
9.
Rosati, Rayna, Yanfang Huang, Lisa Polin, et al.. (2018). Chronic p27Kip1 Induction by Dexamethasone Causes Senescence Phenotype and Permanent Cell Cycle Blockade in Lung Adenocarcinoma Cells Over-expressing Glucocorticoid Receptor. Scientific Reports. 8(1). 16006–16006. 10 indexed citations
10.
Holowatyj, Andreana N., Julie J. Ruterbusch, Manohar Ratnam, David H. Gorski, & Michele L. Coté. (2016). HER2 status and disparities in luminal breast cancers. Cancer Medicine. 5(8). 2109–2116. 18 indexed citations
11.
Gadgeel, Shirish M., Yanfang Huang, Anthony F. Shields, et al.. (2014). Glucocorticoid Receptor Status Is a Principal Determinant of Variability in the Sensitivity of Non–Small-Cell Lung Cancer Cells to Pemetrexed. Journal of Thoracic Oncology. 9(4). 519–526. 25 indexed citations
12.
Jansen, Gerrit, Karin Weijers, Yoony Y. J. Gent, et al.. (2013). Folates and antifolates in rheumatoid arthritis. Pteridines. 24(1). 21–26. 1 indexed citations
14.
Puig‐Kröger, Amaya, Elena Sierra‐Filardi, Ángeles Domínguez‐Soto, et al.. (2009). Folate Receptor β Is Expressed by Tumor-Associated Macrophages and Constitutes a Marker for M2 Anti-inflammatory/Regulatory Macrophages. Cancer Research. 69(24). 9395–9403. 310 indexed citations
15.
Venkateswarlu, Putcha, et al.. (2007). Removal of chromium from an aqueous solution using Azadirachta indica (neem) leaf powder as an adsorbent. International Journal of the Physical Sciences. 2(8). 188–195. 72 indexed citations
16.
Zheng, Xuan, et al.. (2003). mRNA Instability in the Nucleus Due to a Novel Open Reading Frame Element Is a Major Determinant of the Narrow Tissue Specificity of Folate Receptor α. Molecular and Cellular Biology. 23(6). 2202–2212. 28 indexed citations
17.
Ross, John F., Hui Wang, Frederick G. Behm, et al.. (1999). Folate receptor type ? is a neutrophilic lineage marker and is differentially expressed in myeloid leukemia. Cancer. 85(2). 348–357. 196 indexed citations
18.
Jolivet, Jacques, et al.. (1996). Functional aspects of membrane folate receptors in human breast cancer cells with transport-related resistance to methotrexate. Cancer Chemotherapy and Pharmacology. 38(3). 281–288. 17 indexed citations
19.
Ratnam, Manohar, Hans Marquardt, John L. Duhring, & James H. Freisheim. (1989). Homologous membrane folate binding proteins in human placenta: cloning and sequence of a cDNA. Biochemistry. 28(20). 8249–8254. 177 indexed citations
20.
Ramesh, K. V., et al.. (1987). Serine hydroxymethyltransferase: active site interactions and role in cell proliferation. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 4 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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