Shiva Pathak

1.5k citations
36 papers · 1.3k · h-index 23

Impact in

    • Nanoparticle-Based Drug Delivery
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Pancreatic function and diabetes 7
    • Tissue Engineering and Regenerative Medicine 4
    • Nanoparticle-Based Drug Delivery 7

Shiva Pathak

35 papers receiving 1.3k citations

Peers

Shiva Pathak
Comparison fields: 5 of 103
  • Biomaterials 321
  • Genetics 195
  • Pharmaceutical Science 86
  • Biomedical Engineering 337
  • Molecular Medicine 33
Replace Shobha Regmi with:
Shobha Regmi South Korea
Yoon Shin Park South Korea
Macarena Perán Spain
Ning Wen China
Olga Şoriţău Romania
Xiaoniao Chen China
Afshin Taheriazam Iran
Behrooz Johari Iran
Yeonsue Jang South Korea
Shiva Pathak relative to Shobha Regmi South Korea Shobha Regmi's profile →
Citations per field
00.5×5.7×
Shobha Regmi · 1×
Citations per year

Countries citing papers authored by Shiva Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Shiva Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shiva Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shiva Pathak Line = papers co-authored together Shiva Pathak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019237
2 201588
3 201567
4 202061
5 201753
6 201752
7 201850
8 201750
9 202047
10 201944
11 202138
12 201836
13 201934
14 201834
15 201931
16 201930
17 201929
18 202128
19 201628
20 201728

About Shiva Pathak

Shiva Pathak is a scholar working on Surgery, Biomaterials, Biomedical Engineering, Molecular Biology and Genetics, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (7 papers), Pancreatic function and diabetes (7 papers), Mesenchymal stem cell research (6 papers), Diabetes Management and Research (5 papers), Graphene and Nanomaterials Applications (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Biomaterials (321 citations), Genetics (195 citations), Pharmaceutical Science (86 citations), Biomedical Engineering (337 citations) and Molecular Medicine (33 citations). Shiva Pathak has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Jee‐Heon Jeong, Jong Oh Kim, Shobha Regmi, Chul Soon Yong, Biki Gupta, Bijay Kumar Poudel, Han‐Gon Choi, Simmyung Yook, Prakash Shrestha and Tung Thanh Pham. Their work appears in journals such as ACS Applied Materials & Interfaces, Journal of Controlled Release, Journal of Industrial and Engineering Chemistry, Biomaterials and Colloids and Surfaces B Biointerfaces.

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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