Manish Diwan

964 total citations
10 papers, 765 citations indexed

About

Manish Diwan is a scholar working on Molecular Biology, Immunology and Pharmaceutical Science. According to data from OpenAlex, Manish Diwan has authored 10 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Pharmaceutical Science. Recurrent topics in Manish Diwan's work include Immunotherapy and Immune Responses (4 papers), RNA Interference and Gene Delivery (3 papers) and Immune Response and Inflammation (2 papers). Manish Diwan is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), RNA Interference and Gene Delivery (3 papers) and Immune Response and Inflammation (2 papers). Manish Diwan collaborates with scholars based in Canada, India and South Korea. Manish Diwan's co-authors include Praveen Elamanchili, John Samuel, Min Cao, Tae Gwan Park, Samar Hamdy, G.P. Talwar, Kenji Oritani, Toshihiko Akimoto, Kazuya Shimoda and Tadashi Matsuda and has published in prestigious journals such as Journal of Controlled Release, European Journal of Pharmacology and Vaccine.

In The Last Decade

Manish Diwan

10 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manish Diwan Canada	9	402	370	199	140	93	10	765
Joanne McCaffrey United Kingdom	14	286 0.7×	503 1.4×	321 1.6×	120 0.9×	90 1.0×	21	923
Eleni Maria Varypataki Netherlands	11	407 1.0×	266 0.7×	163 0.8×	54 0.4×	88 0.9×	14	636
Tomofumi Uto Japan	21	845 2.1×	628 1.7×	145 0.7×	111 0.8×	123 1.3×	44	1.3k
Virginia Cody United States	6	381 0.9×	275 0.7×	74 0.4×	90 0.6×	104 1.1×	7	531
Yogita Krishnamachari United States	10	219 0.5×	265 0.7×	111 0.6×	93 0.7×	123 1.3×	20	599
Grace Cole United Kingdom	11	184 0.5×	455 1.2×	225 1.1×	81 0.6×	60 0.6×	16	806
Sandra K. Klimuk Canada	12	246 0.6×	806 2.2×	87 0.4×	294 2.1×	138 1.5×	14	1.1k
Jilei Jia China	9	315 0.8×	266 0.7×	103 0.5×	77 0.6×	115 1.2×	10	514
Ahlam Ali United Kingdom	18	275 0.7×	494 1.3×	519 2.6×	144 1.0×	112 1.2×	31	1.3k
Armando Stano Switzerland	12	474 1.2×	387 1.0×	59 0.3×	106 0.8×	134 1.4×	13	906

Countries citing papers authored by Manish Diwan

Since Specialization

Citations

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

Fields of papers citing papers by Manish Diwan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Diwan

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

All Works

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10 of 10 papers shown

Tandon, Ruchi, Ankur Kumar, Manish Diwan, et al.. (2013). RBx10080307, a dual EGFR/IGF-1R inhibitor for anticancer therapy. European Journal of Pharmacology. 711(1-3). 19–26. 8 indexed citations

Ishizaki, Masayuki, Ryuta Muromoto, Toshihiko Akimoto, et al.. (2013). Tyk2 is a therapeutic target for psoriasis-like skin inflammation. International Immunology. 26(5). 257–267. 64 indexed citations

Lakshmanan, Manikandan, et al.. (2008). Molecular targeting of E3 ligases – a therapeutic approach for cancer. Expert Opinion on Therapeutic Targets. 12(7). 855–870. 18 indexed citations

Elamanchili, Praveen, et al.. (2007). “Pathogen-Mimicking” Nanoparticles for Vaccine Delivery to Dendritic Cells. Journal of Immunotherapy. 30(4). 378–395. 132 indexed citations

Diwan, Manish, Praveen Elamanchili, Min Cao, & John Samuel. (2004). Dose Sparing of CpG Oligodeoxynucleotide Vaccine Adjuvants by Nanoparticle Delivery. Current Drug Delivery. 1(4). 405–412. 84 indexed citations

Elamanchili, Praveen, Manish Diwan, Min Cao, & John Samuel. (2004). Characterization of poly(d,l-lactic-co-glycolic acid) based nanoparticulate system for enhanced delivery of antigens to dendritic cells. Vaccine. 22(19). 2406–2412. 191 indexed citations

Diwan, Manish, et al.. (2003). Biodegradable Nanoparticle Mediated Antigen Delivery to Human Cord Blood Derived Dendritic Cells for Induction of Primary T Cell Responses. Journal of drug targeting. 11(8-10). 495–507. 88 indexed citations

Diwan, Manish & Tae Gwan Park. (2001). Pegylation enhances protein stability during encapsulation in PLGA microspheres. Journal of Controlled Release. 73(2-3). 233–244. 133 indexed citations

Diwan, Manish, et al.. (1998). Induction of early and bioeffective antibody response in rodents with the luteinizing hormone-releasing hormone vaccine given as a single dose in biodegradable microspheres along with alum. The Prostate. 35(4). 279–284. 21 indexed citations

10.

Misra, Amit, et al.. (1996). Formulation of a transdermal system for biphasic delivery of testosterone. Journal of Controlled Release. 39(1). 1–7. 26 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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