Deepti Reddi

475 citations
23 papers · 173 · h-index 9

Impact in

Papers in

Deepti Reddi

21 papers receiving 172 citations

Peers

Deepti Reddi
Comparison fields: 5 of 46
  • Hematology 31
  • Pathology and Forensic Medicine 34
  • Oncology 47
  • Gastroenterology 9
  • Cancer Research 20
Replace S S Banerjee with:
S S Banerjee United Kingdom
Arturo Bonometti Italy
Ahmed Bedeir United States
Michelle Ki United States
Herlander Marques Portugal
Gaixiang Xu China
Yasuyuki Todoroki Japan
Bernard Lauwerys Belgium
Teresa Staiano Italy
Larissa Mendes United Kingdom
Deepti Reddi relative to S S Banerjee United Kingdom S S Banerjee's profile →
Citations per field
00.5×10×20×30×40×49×
S S Banerjee · 1×
Citations per year

Countries citing papers authored by Deepti Reddi

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Reddi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202222
2 202020
3 201318
4 201217
5 202214
6 202210
7 201410
8 201310
9 20239
10 20237
11 20177
12 20235
13 20145
14 20214
15 20223
16 20133
17 20182
18 20212
19 20212
20 20241

About Deepti Reddi

Deepti Reddi is a scholar working on Surgery, Pathology and Forensic Medicine, Oncology, Epidemiology and Hematology, having authored 23 papers that have together received 173 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Fungal Infections and Studies (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Intraperitoneal and Appendiceal Malignancies (2 papers). The work is most often cited by research in Hematology (31 citations), Pathology and Forensic Medicine (34 citations), Oncology (47 citations), Gastroenterology (9 citations) and Cancer Research (20 citations). Deepti Reddi has collaborated with scholars based in United States, Austria and China. Frequent co-authors include Endi Wang, Diana M. Cardona, James L. Burchette, Abner Louissaint, Qin Huang, Paul E. Swanson, Jonathan Liu, Rodney A. Schmidt, Scott Ely and Yong-Jun Liu. Their work appears in journals such as American Journal of Clinical Pathology, Archives of Pathology & Laboratory Medicine, American Journal of Dermatopathology, Human Pathology and Modern Pathology.

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.

Explore authors with similar magnitude of impact