Neyaz Alam

55 papers receiving 3.6k citations

Neyaz Alam's Hit Papers

Accumulation of Krebs cycle intermediates and over-expression of HIF1α in tumours which result from germline FH and SDH mutations 2005 · 738 citations
7380+8+16Years since publication4008001.2k

Peers

Neyaz Alam
Comparison fields: 5 of 101
  • Cancer Research 1.3k
  • Obstetrics and Gynecology 310
  • Pulmonary and Respiratory Medicine 1.1k
  • Molecular Biology 2.2k
  • Oncology 447
Replace In‐Gu Do with:
In‐Gu Do South Korea
Tomomi Kamba Japan
Valentine M. Macaulay United Kingdom
Ricardo R. Lastra United States
Jing Yi United States
Shuji Mikami Japan
Laura S. Schmidt United States
Rafał Matkowski Poland
Min Ren China
Yuji Takebayashi Japan
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Citations per field
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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-authors

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

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Germline mutations in FH predispose to dominantly inherited uterine fibroids, skin leiomyomata and papillary renal cell cancer
Hit paper breakdown →
20021297
2
Accumulation of Krebs cycle intermediates and over-expression of HIF1α in tumours which result from germline FH and SDH mutations
Hit paper breakdown →
2005738
3 2003253
4 2005147
5 2001119
6 2016111
7 2005107
8 2006101
9 201169
10 200865
11 200556
12 201752
13 200846
14 201646
15 200845
16 200841
17 201634
18 201231
19 202131
20 201930

About Neyaz Alam

Neyaz Alam is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Obstetrics and Gynecology, having authored 58 papers that have together received 3.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Genetic factors in colorectal cancer (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Cancer-related gene regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Uterine Myomas and Treatments (4 papers), Renal cell carcinoma treatment (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (1.3k citations), Obstetrics and Gynecology (310 citations), Pulmonary and Respiratory Medicine (1.1k citations), Molecular Biology (2.2k citations) and Oncology (447 citations). Neyaz Alam has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Susanta Roychoudhury, Chinmay Kumar Panda, Simon Edward Olpin, Anup Kumar Roy, Irene M. Leigh, Ian P.M. Tomlinson, Nupur Mukherjee, Satyabrata Sinha, David P. Kelsell and Irene M. Leigh. Their work appears in journals such as International Journal of Experimental Pathology, Cancer Science, Medical Microbiology and Immunology, 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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