Pankaj Sharma
- Organic Chemistry top 1%
- Molecular Biology
- Oncology
- Pharmacology top 10%
- Toxicology top 2%
- Co-authors
- Nagula ShankaraiahKishna Ram SenwarRai‐Shung LiuT. Srinivasa ReddyV.G.M. NaiduNiggula Praveen KumarÄhmed KamalDinesh Thummuri
- Topics
- Catalytic C–H Functionalization Methods (10 papers)Synthesis and biological activity (10 papers)Click Chemistry and Applications (10 papers)
- Partner nations
- IndiaTaiwanUnited States
In The Last Decade
Pankaj Sharma
75 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Organic Chemistry 1.4k
- Molecular Biology 651
- Oncology 116
- Pharmacology 113
- Toxicology 85
Countries citing papers authored by Pankaj Sharma
This map shows the geographic impact of Pankaj Sharma'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 Pankaj Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pankaj Sharma more than expected).
Fields of papers citing papers by Pankaj Sharma
This network shows the impact of papers produced by Pankaj Sharma. 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 Pankaj Sharma. The network helps show where Pankaj Sharma may publish in the future.
Co-authorship network of co-authors of Pankaj Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Sharma. A scholar is included among the top collaborators of Pankaj Sharma 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 Pankaj Sharma. Pankaj Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 125 | |
| 6 | 16 | |
| 7 | Hemoglobin Level and Karyotype Status are Independent Prognostic Parameters for Acute Myeloid Leukemia: Pilot Study of 244 Patients | 1 |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | Condition-specific transcriptional regulation of neuronal ion channel genes in brain ischemia. | 3 |
| 12 | 14 | |
| 13 | 24 | |
| 14 | 71 | |
| 15 | A review of advances in injectable drugs and devices | 0 |
| 16 | Anxiolytic effects of newly synthesized derivatives in mice and molecular docking studies as serotonin 5HT2A receptor inhibitor | 1 |
| 17 | 51 | |
| 18 | 49 | |
| 19 | The micronucleus test in urothelial cells of cervix cancer patients | 6 |
| 20 | 8 |
About Pankaj Sharma
Pankaj Sharma is a scholar working on Organic Chemistry, Toxicology and Molecular Biology, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (10 papers), Synthesis and biological activity (10 papers) and Click Chemistry and Applications (10 papers). The work is most often cited by research in Organic Chemistry (1.4k citations), Toxicology (85 citations) and Molecular Biology (651 citations). Pankaj Sharma has collaborated with scholars based in India, Taiwan and United States. Frequent co-authors include Nagula Shankaraiah, Kishna Ram Senwar, Rai‐Shung Liu, T. Srinivasa Reddy, V.G.M. Naidu, Niggula Praveen Kumar, Ähmed Kamal, Dinesh Thummuri, Shalini Nekkanti and K.C. Gupta. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and Oncogene.
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.