Ima Paydar

603 citations
38 papers · 452 · h-index 10

Impact in

Papers in

Ima Paydar

36 papers receiving 446 citations

Peers

Ima Paydar
Comparison fields: 5 of 56
  • Cancer Research 104
  • Obstetrics and Gynecology 46
  • Oncology 117
  • Radiation 31
  • Pulmonary and Respiratory Medicine 76
Replace C. Diana Jordan with:
C. Diana Jordan United States
C. A. Martindale United Kingdom
Timothy W. Brotherton United States
Hua Linghu China
Melinda S. Epstein United States
Raquel J. Nunes Portugal
Daniela Wuttig Germany
Hussein Shehade Belgium
Jieqing Zhang China
Marta Bellone Italy
Ima Paydar relative to C. Diana Jordan United States C. Diana Jordan's profile →
Citations per field
00.5×10.3×
C. Diana Jordan · 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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008103
2 202065
3 200865
4 201630
5 202125
6 201623
7 201520
8 201818
9 201615
10 201712
11 20209
12 20158
13 20218
14 20216
15 20206
16 20225
17 20234
18 20234
19 20214
20 20212

About Ima Paydar

Ima Paydar is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Radiation and Hematology, having authored 38 papers that have together received 452 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Advanced Radiotherapy Techniques (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Management of metastatic bone disease (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (104 citations), Obstetrics and Gynecology (46 citations), Oncology (117 citations), Radiation (31 citations) and Pulmonary and Respiratory Medicine (76 citations). Ima Paydar has collaborated with scholars based in United States, Italy and Türkiye. Frequent co-authors include Elizabeth J. Thatcher, James G. Patton, Kimberly K. Anderson, Brian T. Collins, John P. Plastaras, Amit Maity, Christopher M. Wright, Elise A. Chong, Jonathan Baron and Sean P. Collins. 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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