Daoud Meerzaman

5.1k citations
59 papers · 1.9k indexed · h-index 21
Topics
Protein Degradation and Inhibitors (8 papers)Cancer Genomics and Diagnostics (7 papers)Gene expression and cancer classification (7 papers)
Partner nations
United StatesJapanIsrael

In The Last Decade

Daoud Meerzaman

56 papers receiving 1.8k citations

Peers

Daoud Meerzaman
Comparison fields: 5 of 119
  • Molecular Biology 1.3k
  • Oncology 473
  • Cancer Research 375
  • Pulmonary and Respiratory Medicine 256
  • Immunology 230
Replace Simona De Summa with:
Simona De Summa Italy
Jonathan R. Dry United States
Sean G. Buchanan United States
Gregory Riedlinger United States
Delphine Mérino Australia
Peter M. Haverty United States
Qi‐En Wang United States
Qintong Li China
Prafulla C. Gokhale United States
Qingrong Chen United States
Daoud Meerzaman relative to Simona De Summa Italy Simona De Summa's profile →
Citations per field
00.5×
Simona De Summa · 1×
Citations per year

Countries citing papers authored by Daoud Meerzaman

Since Specialization
Citations

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

Fields of papers citing papers by Daoud Meerzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoud Meerzaman

This figure shows the co-authorship network connecting the top 25 collaborators of Daoud Meerzaman. A scholar is included among the top collaborators of Daoud Meerzaman 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 Daoud Meerzaman. Daoud Meerzaman 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
#WorkIndexed citations
1 1
2 0
3 0
4 6
5 8
6 1
7 7
8 20
9 11
10 13
11 2
12 33
13 29
14 1
15 9
16 23
17 18
18 119
19 51
20 94

About Daoud Meerzaman

Daoud Meerzaman is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (8 papers), Cancer Genomics and Diagnostics (7 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Cancer Research (375 citations), Molecular Biology (1.3k citations) and Oncology (473 citations). Daoud Meerzaman has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Qingrong Chen, Chunhua Yan, Jin Jen, Dinah S. Singer, Anne Gégonne, Tatiana Dracheva, Junya Fukuoka, Ying Hu, Kenneth H. Buetow and K. Chul Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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