Neyaz Alam

4.7k citations
56 papers · 1.4k indexed · h-index 21

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Renal and related cancers
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation

Papers in

Neyaz Alam

53 papers receiving 1.4k citations

Peers

Neyaz Alam
Comparison fields: 5 of 89
  • Cancer Research 381
  • Molecular Biology 962
  • Obstetrics and Gynecology 109
  • Oncology 362
  • Pulmonary and Respiratory Medicine 387
Replace Qingfang Li with:
Qingfang Li China
Kazuhiro Yoshida Japan
Si‐Rui Ma China
Dai Shimizu Japan
Peter Mu‐Hsin Chang Taiwan
Weimin Zhang China
Jane Barraclough United Kingdom
Robert Veve United States
Lars Damstrup Denmark
Neyaz Alam relative to Qingfang Li China Qingfang Li's profile →
Citations per field
00.5×4.7×
Qingfang Li · 1×
Citations per year

Countries citing papers authored by Neyaz Alam

Since Specialization
Citations

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

Fields of papers citing papers by Neyaz Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Neyaz Alam, 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 Neyaz Alam Line = papers co-authored together Neyaz Alam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 202316
4 202214
5 20226
6 202129
7 20203
8 201928
9 20187
10 20184
11 201749
12 20169
13 201620
14 201168
15 200860
16 200844
17 20067
18 2005127
19 200594
20 200549

About Neyaz Alam

Neyaz Alam is a scholar working on Cancer Research, Health Informatics, Otorhinolaryngology, Oncology and Toxicology, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (6 papers), Genetic factors in colorectal cancer (6 papers), Renal cell carcinoma treatment (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer-related gene regulation (5 papers), Renal and related cancers (5 papers) and Wnt/β-catenin signaling in development and cancer (5 papers). The work is most often cited by research in Cancer Research (381 citations), Molecular Biology (962 citations), Obstetrics and Gynecology (109 citations), Oncology (362 citations) and Pulmonary and Respiratory Medicine (387 citations). Neyaz Alam has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Susanta Roychoudhury, Chinmay Kumar Panda, Anup Roy, S. E. Olpin, I.M. Leigh, Nupur Mukherjee, Ian Tomlinson, Satyabrata Sinha, David P. Kelsell and Andrew Rowan. Their work appears in journals such as Medical Microbiology and Immunology, International Journal of Experimental Pathology, Cancer Research, Annals of Surgical Oncology and Molecular and Cellular Biochemistry.

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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