Sunil S. Metkar

1.7k total citations
25 papers, 1.3k citations indexed

About

Sunil S. Metkar is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Sunil S. Metkar has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in Sunil S. Metkar's work include Cell death mechanisms and regulation (11 papers), RNA Interference and Gene Delivery (7 papers) and Immune Cell Function and Interaction (7 papers). Sunil S. Metkar is often cited by papers focused on Cell death mechanisms and regulation (11 papers), RNA Interference and Gene Delivery (7 papers) and Immune Cell Function and Interaction (7 papers). Sunil S. Metkar collaborates with scholars based in United States, Spain and Slovenia. Sunil S. Metkar's co-authors include Christopher J. Froelich, Srikumar M. Raja, Baikun Wang, Julián Pardo, Miguel Aguilar‐Santelises, Lars Uhlin‐Hansen, Joseph A. Trapani, Eckhard R. Podack, Cheikh Menaa and Markus M. Simon and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Blood.

In The Last Decade

Sunil S. Metkar

24 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sunil S. Metkar 687 580 205 197 145 25 1.3k
Bruce Motyka 646 0.9× 516 0.9× 153 0.7× 162 0.8× 109 0.8× 43 1.3k
Dale R. Taylor 892 1.3× 522 0.9× 285 1.4× 144 0.7× 229 1.6× 12 1.6k
Anu Cherukuri 904 1.3× 717 1.2× 137 0.7× 235 1.2× 78 0.5× 31 1.8k
M. H. van Oers 437 0.6× 704 1.2× 247 1.2× 300 1.5× 86 0.6× 29 1.5k
Karin Sedelies 458 0.7× 791 1.4× 266 1.3× 212 1.1× 97 0.7× 18 1.2k
Dion Kaiserman 558 0.8× 498 0.9× 167 0.8× 116 0.6× 185 1.3× 36 1.2k
H Mostowski 1.2k 1.7× 443 0.8× 403 2.0× 187 0.9× 108 0.7× 22 1.9k
Marion Braun 801 1.2× 783 1.4× 255 1.2× 152 0.8× 51 0.4× 15 1.4k
Rafael J. Argüello 716 1.0× 375 0.6× 112 0.5× 222 1.1× 155 1.1× 50 1.2k
Heather Hinton 781 1.1× 721 1.2× 316 1.5× 214 1.1× 65 0.4× 33 1.6k

Countries citing papers authored by Sunil S. Metkar

Since Specialization
Citations

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

Fields of papers citing papers by Sunil S. Metkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil S. Metkar. 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 Sunil S. Metkar. The network helps show where Sunil S. Metkar may publish in the future.

Co-authorship network of co-authors of Sunil S. Metkar

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil S. Metkar. A scholar is included among the top collaborators of Sunil S. Metkar 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 Sunil S. Metkar. Sunil S. Metkar 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.
Metkar, Sunil S., Julián Pardo, Gregor Anderluh, et al.. (2015). In memoriam: Prof Christopher J Froelich (1951–2015). Cell Death and Differentiation. 23(1). 3–4.
2.
Metkar, Sunil S., Marta Marchioretto, V. Antonini, et al.. (2014). Perforin oligomers form arcs in cellular membranes: a locus for intracellular delivery of granzymes. Cell Death and Differentiation. 22(1). 74–85. 66 indexed citations
3.
Spencer, Charles T., Getahun Abate, Isaac G. Sakala, et al.. (2013). Granzyme A Produced by γ9δ2 T Cells Induces Human Macrophages to Inhibit Growth of an Intracellular Pathogen. PLoS Pathogens. 9(1). e1003119–e1003119. 86 indexed citations
4.
Joeckel, Lars T., Reinhard Wallich, Sunil S. Metkar, et al.. (2012). Interleukin-1R Signaling Is Essential for Induction of Proapoptotic CD8 T Cells, Viral Clearance, and Pathology during Lymphocytic Choriomeningitis Virus Infection in Mice. Journal of Virology. 86(16). 8713–8719. 19 indexed citations
5.
Metkar, Sunil S., Baikun Wang, Gregor Anderluh, et al.. (2011). Perforin Rapidly Induces Plasma Membrane Phospholipid Flip-Flop. PLoS ONE. 6(9). e24286–e24286. 43 indexed citations
6.
Podlesek, Zdravko, et al.. (2010). Human perforin permeabilizing activity, but not binding to lipid membranes, is affected by pH. Molecular Immunology. 47(15). 2492–2504. 33 indexed citations
7.
Metkar, Sunil S., et al.. (2008). Granzyme B translocates across the lipid membrane only in the presence of lytic agents. Biochemical and Biophysical Research Communications. 371(3). 391–394. 10 indexed citations
8.
Metkar, Sunil S., Cheikh Menaa, Julián Pardo, et al.. (2008). Human and Mouse Granzyme A Induce a Proinflammatory Cytokine Response. Immunity. 29(5). 720–733. 250 indexed citations
9.
Raja, Srikumar M., Sunil S. Metkar, Stefan Höning, et al.. (2005). A Novel Mechanism for Protein Delivery. Journal of Biological Chemistry. 280(21). 20752–20761. 44 indexed citations
10.
Zuber, Bartek, Victor Levitsky, Gun Jönsson, et al.. (2005). Detection of human perforin by ELISpot and ELISA: Ex vivo identification of virus-specific cells. Journal of Immunological Methods. 302(1-2). 13–25. 45 indexed citations
11.
Metkar, Sunil S., Baikun Wang, & Christopher J. Froelich. (2005). Detection of functional cell surface perforin by flow cytometry. Journal of Immunological Methods. 299(1-2). 117–127. 4 indexed citations
12.
Froelich, Christopher J., Sunil S. Metkar, & Srikumar M. Raja. (2004). Granzyme B-mediated apoptosis – the elephant and the blind men?. Cell Death and Differentiation. 11(4). 369–371. 21 indexed citations
13.
Raja, Srikumar M., Sunil S. Metkar, & Christopher J. Froelich. (2003). Cytotoxic granule-mediated apoptosis: unraveling the complex mechanism. Current Opinion in Immunology. 15(5). 528–532. 42 indexed citations
14.
Metkar, Sunil S., Baikun Wang, Miguel Aguilar‐Santelises, et al.. (2002). Cytotoxic Cell Granule-Mediated Apoptosis. Immunity. 16(3). 417–428. 235 indexed citations
15.
Raja, Srikumar M., Baikun Wang, Umesh R. Desai, et al.. (2002). Cytotoxic Cell Granule-mediated Apoptosis. Journal of Biological Chemistry. 277(51). 49523–49530. 91 indexed citations
16.
Metkar, Sunil S., et al.. (2001). CD40 Ligand - An Anti-Apoptotic Molecule in Hodgkin's Disease. Cancer Biotherapy and Radiopharmaceuticals. 16(1). 85–92. 10 indexed citations
17.
Metkar, Sunil S., Kikkeri N. Naresh, Partha Pratim Manna, et al.. (2000). Circulating levels of TNF? and TNF receptor superfamily members in lymphoid neoplasia. American Journal of Hematology. 65(2). 105–110. 12 indexed citations
18.
Metkar, Sunil S., et al.. (2000). Ceramide-Induced Apoptosis in Fas-Resistant Hodgkin's Disease Cell Lines Is Caspase Independent. Experimental Cell Research. 255(1). 18–29. 15 indexed citations
19.
Metkar, Sunil S., Kikkeri N. Naresh, Alka Redkar, et al.. (1999). Expression of Fas and Fas Ligand in Hodgkin's Disease. Leukemia & lymphoma. 33(5-6). 521–530. 35 indexed citations
20.
Metkar, Sunil S., Kikkeri N. Naresh, Alka Redkar, & J.J. Nadkarni. (1998). CD40-ligation-mediated protection from apoptosis of a Fas-sensitive Hodgkin's-disease-derived cell line. Cancer Immunology Immunotherapy. 47(2). 104–112. 17 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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