Salma Alam

4.4k citations
14 papers · 332 · h-index 10

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Pancreatic and Hepatic Oncology Research
    • Vascular Tumors and Angiosarcomas

Papers in

Salma Alam

14 papers receiving 328 citations

Peers

Salma Alam
Comparison fields: 5 of 49
  • Cancer Research 86
  • Oncology 143
  • Pulmonary and Respiratory Medicine 160
  • Endocrinology, Diabetes and Metabolism 66
  • Otorhinolaryngology 13
Replace Junichi Tomomatsu with:
Junichi Tomomatsu Japan
Takehisa Hashimoto Japan
Isamu Hayashi Japan
Soichi Oka Japan
Hui‐Ping Chien Taiwan
Flavio Mavignier Cárcano Brazil
Valeria Maffeis Italy
Gregory Pennock United States
Angelika Terbuch Austria
S.D. Graham United States
Salma Alam relative to Junichi Tomomatsu Japan Junichi Tomomatsu's profile →
Citations per field
00.5×6.3×
Junichi Tomomatsu · 1×
Citations per year

Countries citing papers authored by Salma Alam

Since Specialization
Citations

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

Fields of papers citing papers by Salma Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201477
2 201350
3 201149
4
Optimal scoring of serial change on chest radiography in sarcoidosis.
201134
5 201833
6 201027
7 201216
8 201315
9 201414
10 20189
11 20163
12 20103
13 20121
14 20161

About Salma Alam

Salma Alam is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 14 papers that have together received 332 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (5 papers), Vascular Tumors and Angiosarcomas (4 papers), Cancer Genomics and Diagnostics (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer Treatment and Pharmacology (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Cancer Research (86 citations), Oncology (143 citations), Pulmonary and Respiratory Medicine (160 citations), Endocrinology, Diabetes and Metabolism (66 citations) and Otorhinolaryngology (13 citations). Salma Alam has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Robin L. Jones, David Olmos, Ian Judson, Michelle Scurr, Andrew Stephens, Srinivasu Poondru, Ana Sofia Martins, Pilar Nava-Parada, Faye M. Johnson and Scott M. Lippman. Their work appears in journals such as Journal of Clinical Oncology, Sarcoma, Clinical Cancer Research, Pancreatology and Cancer Chemotherapy and Pharmacology.

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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