Muhammad Kashif
- Co-authors
- Martin O. BergöHaidong YaoClotilde WielMohamed X. IbrahimChowdhury Arif JahangirDorian V. ZieglerChandrasekhar KanduriKristell Le Gal
- Topics
- Multiple Myeloma Research and Treatments (5 papers)Computational Drug Discovery Methods (4 papers)Protein Degradation and Inhibitors (4 papers)
- Journals
- CellProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
In The Last Decade
Muhammad Kashif
36 papers receiving 710 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 463
- Cancer Research 168
- Oncology 98
- Immunology 77
- Pulmonary and Respiratory Medicine 61
Countries citing papers authored by Muhammad Kashif
This map shows the geographic impact of Muhammad Kashif'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 Muhammad Kashif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Kashif more than expected).
Fields of papers citing papers by Muhammad Kashif
This network shows the impact of papers produced by Muhammad Kashif. 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 Muhammad Kashif. The network helps show where Muhammad Kashif may publish in the future.
Co-authorship network of co-authors of Muhammad Kashif
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Kashif. A scholar is included among the top collaborators of Muhammad Kashif 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 Muhammad Kashif. Muhammad Kashif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | MRSA compendium of epidemiology, transmission, pathophysiology, treatment, and prevention within one health frameworkbreakdown → | 89 |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 11 | |
| 14 | 19 | |
| 15 | BACH1 Stabilization by Antioxidants Stimulates Lung Cancer Metastasisbreakdown → | 427 |
| 16 | The Darkness Brings Light in the Field of Bio-Communication Through Melatonin Production | 1 |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 21 | |
| 20 | 16 |
About Muhammad Kashif
Muhammad Kashif is a scholar working on Hematology, Virology and Anesthesiology and Pain Medicine, having authored 42 papers that have together received 715 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Computational Drug Discovery Methods (4 papers) and Protein Degradation and Inhibitors (4 papers). The work is most often cited by research in Cancer Research (168 citations), Molecular Biology (463 citations) and Biochemistry (27 citations). Muhammad Kashif has collaborated with scholars based in Pakistan, Sweden and China. Frequent co-authors include Martin O. Bergö, Haidong Yao, Clotilde Wiel, Mohamed X. Ibrahim, Chowdhury Arif Jahangir, Dorian V. Ziegler, Chandrasekhar Kanduri, Kristell Le Gal, Tanushree Ghosh and Tanmoy Mondal. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.