Ima Paydar

593 citations
36 papers · 430 · h-index 10

Impact in

Papers in

Ima Paydar

34 papers receiving 429 citations

Peers

Ima Paydar
Comparison fields: 5 of 57
  • Cancer Research 113
  • Obstetrics and Gynecology 49
  • Radiation 50
  • Oncology 127
  • Reproductive Medicine 37
Replace Lars Schüttrumpf with:
Lars Schüttrumpf Germany
C. Diana Jordan United States
C. A. Martindale United Kingdom
Shariq S. Khwaja United States
Timothy W. Brotherton United States
Alexandra S. Zimmer United States
Brandee Brown United States
N. Riva Italy
Daniela Wuttig Germany
Joachim Woenckhaus Germany
Ima Paydar relative to Lars Schüttrumpf Germany Lars Schüttrumpf's profile →
Citations per field
00.5×3.7×
Lars Schüttrumpf · 1×
Citations per year

Countries citing papers authored by Ima Paydar

Since Specialization
Citations

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

Fields of papers citing papers by Ima Paydar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200898
2 202065
3 200861
4 201627
5 202123
6 201621
7 201519
8 201818
9 201615
10 201712
11 20208
12 20158
13 20217
14 20206
15 20216
16 20234
17 20224
18 20214
19 20234
20 20162

About Ima Paydar

Ima Paydar is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Radiation and Surgery, having authored 36 papers that have together received 430 indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Advanced Radiotherapy Techniques (8 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Brain Metastases and Treatment (4 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Cancer Research (113 citations), Obstetrics and Gynecology (49 citations), Radiation (50 citations), Oncology (127 citations) and Reproductive Medicine (37 citations). Ima Paydar has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Elizabeth J. Thatcher, James G. Patton, Kimberly K. Anderson, Brian T. Collins, John P. Plastaras, Amit Maity, Elise A. Chong, Jonathan Baron, Sean P. Collins and Christopher M. Wright. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Frontiers in Oncology, Blood, Advances in Radiation Oncology and Clinical Cancer Research.

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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