Pudur Jagadeeswaran

4.9k total citations
95 papers, 2.8k citations indexed

About

Pudur Jagadeeswaran is a scholar working on Hematology, Cell Biology and Molecular Biology. According to data from OpenAlex, Pudur Jagadeeswaran has authored 95 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Hematology, 38 papers in Cell Biology and 31 papers in Molecular Biology. Recurrent topics in Pudur Jagadeeswaran's work include Blood Coagulation and Thrombosis Mechanisms (47 papers), Zebrafish Biomedical Research Applications (35 papers) and Platelet Disorders and Treatments (30 papers). Pudur Jagadeeswaran is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (47 papers), Zebrafish Biomedical Research Applications (35 papers) and Platelet Disorders and Treatments (30 papers). Pudur Jagadeeswaran collaborates with scholars based in United States, Japan and United Kingdom. Pudur Jagadeeswaran's co-authors include Bernard G. Forget, Sherman M. Weissman, John P. Sheehan, Michael D. Gregory, Seongcheol Kim, Marnie E. Halpern, Dean A. Troyer, Shannon Fisher, S M Weissman and Fiona E. Craig and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Pudur Jagadeeswaran

92 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pudur Jagadeeswaran United States 29 1.2k 931 840 399 342 95 2.8k
Jason N. Berman Canada 30 1.6k 1.3× 383 0.4× 1.0k 1.2× 654 1.6× 177 0.5× 125 2.9k
Baya Chérif‐Zahar France 28 953 0.8× 2.1k 2.3× 156 0.2× 173 0.4× 585 1.7× 56 3.3k
Martin Granzow Germany 21 2.2k 1.8× 366 0.4× 140 0.2× 269 0.7× 518 1.5× 42 3.7k
Nancy A. Dower Canada 18 1.2k 1.0× 101 0.1× 602 0.7× 542 1.4× 596 1.7× 31 2.3k
Jie Jiang United States 23 2.1k 1.7× 642 0.7× 88 0.1× 200 0.5× 317 0.9× 80 3.2k
Tim Dexter United Kingdom 24 1.3k 1.1× 208 0.2× 208 0.2× 372 0.9× 411 1.2× 46 2.4k
Katherine J. Turner United States 23 806 0.7× 447 0.5× 235 0.3× 855 2.1× 212 0.6× 49 2.4k
Andrew C. Perkins Australia 41 5.1k 4.3× 1.2k 1.3× 631 0.8× 689 1.7× 838 2.5× 146 7.1k
Elaine Spooncer United Kingdom 33 2.4k 2.0× 1.4k 1.5× 751 0.9× 1.3k 3.3× 543 1.6× 77 4.7k
Takayuki Suzuki Japan 21 2.3k 1.9× 645 0.7× 167 0.2× 103 0.3× 425 1.2× 97 3.0k

Countries citing papers authored by Pudur Jagadeeswaran

Since Specialization
Citations

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

Fields of papers citing papers by Pudur Jagadeeswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pudur Jagadeeswaran

This figure shows the co-authorship network connecting the top 25 collaborators of Pudur Jagadeeswaran. A scholar is included among the top collaborators of Pudur Jagadeeswaran 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 Pudur Jagadeeswaran. Pudur Jagadeeswaran 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.
Jagadeeswaran, Pudur, et al.. (2025). Knockdown of zebrafish tmem242 enhances the production of ROS that signals to increase f9a expression resulting in DIC-like condition. Scientific Reports. 15(1). 3058–3058. 1 indexed citations
2.
Jagadeeswaran, Pudur, et al.. (2025). Zebrafish Model for Thrombosis and Brain‐Behavior Studies. Current Protocols. 5(2). e70096–e70096.
3.
Burggren, Warren W., Naim M. Bautista, Regina Fritsche‐Danielson, et al.. (2024). A larval zebrafish model of cardiac physiological recovery following cardiac arrest and myocardial hypoxic damage. Biology Open. 13(9). 1 indexed citations
4.
Reddy, L. Vinod Kumar, et al.. (2024). Enhanced Maturity and Functionality of Vascular Human Liver Organoids through 3D Bioprinting and Pillar Plate Culture. ACS Biomaterials Science & Engineering. 11(1). 506–517. 2 indexed citations
5.
Jagadeeswaran, Pudur, et al.. (2024). Characterization of zebrafish coagulation cofactors Fviii and Fv mutants and modeling hemophilia A and factor V deficiency. Blood Coagulation & Fibrinolysis. 35(5). 238–247.
6.
Jagadeeswaran, Pudur, et al.. (2023). Role of microRNAs and their downstream target transcription factors in zebrafish thrombopoiesis. Scientific Reports. 13(1). 16066–16066. 1 indexed citations
7.
Burks, David, et al.. (2022). Analysis of transcribed sequences from young and mature zebrafish thrombocytes. PLoS ONE. 17(3). e0264776–e0264776. 4 indexed citations
8.
Burks, David, et al.. (2021). Role of ribosomal RNA released from red cells in blood coagulation in zebrafish and humans. Blood Advances. 5(22). 4634–4647. 2 indexed citations
9.
Jagadeeswaran, Pudur, et al.. (2020). RNaseH-mediated simultaneous piggyback knockdown of multiple genes in adult zebrafish. Scientific Reports. 10(1). 20187–20187. 8 indexed citations
10.
Jagadeeswaran, Pudur, et al.. (2019). Effect of MS222 on Hemostasis in Zebrafish. Journal of the American Association for Laboratory Animal Science. 58(3). 390–396. 19 indexed citations
11.
Kim, Seongcheol, et al.. (2014). Knockdown of αIIb by RNA degradation by delivering deoxyoligonucleotides piggybacked with control vivo-morpholinos into zebrafish thrombocytes. Blood Cells Molecules and Diseases. 54(1). 78–83. 13 indexed citations
12.
Jagadeeswaran, Pudur, et al.. (2011). Laser-Induced Thrombosis in Zebrafish. Methods in cell biology. 101. 197–203. 31 indexed citations
13.
Kim, Seongcheol, et al.. (2010). Vivo-Morpholino knockdown of αIIb: A novel approach to inhibit thrombocyte function in adult zebrafish. Blood Cells Molecules and Diseases. 44(3). 169–174. 44 indexed citations
14.
Kim, Seongcheol, et al.. (2009). Modular, Easy-to-Assemble, Low-Cost Zebrafish Facility. Zebrafish. 6(3). 269–274. 26 indexed citations
15.
Jagadeeswaran, Pudur, et al.. (2007). Zebrafish: from hematology to hydrology. Journal of Thrombosis and Haemostasis. 5. 300–304. 16 indexed citations
16.
Gregory, Michael D., et al.. (2002). Genetic Analysis of Hemostasis and Thrombosis Using Vascular Occlusion. Blood Cells Molecules and Diseases. 29(3). 286–295. 63 indexed citations
17.
Day, Kenneth, et al.. (2001). Developmental Expression of Vitamin K-Dependent Gamma-Carboxylase Activity in Zebrafish Embryos: Effect of Warfarin. Blood Cells Molecules and Diseases. 27(6). 992–999. 24 indexed citations
18.
Jagadeeswaran, Pudur & John P. Sheehan. (1999). Analysis of Blood Coagulation in the Zebrafish. Blood Cells Molecules and Diseases. 25(4). 239–249. 79 indexed citations
19.
Jagadeeswaran, Pudur, et al.. (1998). Chapter 18 Analysis of Hemostasis in the Zebrafish. Methods in cell biology. 59. 337–357. 27 indexed citations
20.
Kaul, Rajinder, et al.. (1986). Isolation and characterization of human blood-coagulation factor X cDNA. Gene. 41(2-3). 311–314. 19 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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