Ramesh Dawar

525 citations
22 papers · 391 indexed · h-index 11

Impact in

Papers in

Ramesh Dawar

22 papers receiving 375 citations

Peers

Ramesh Dawar
Comparison fields: 5 of 75
  • Pathology and Forensic Medicine 185
  • Oncology 157
  • Biophysics 30
  • Neurology 57
  • Reproductive Medicine 31
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Keishi Naruse Japan
Paige M. Bracci United States
C. D. Williams United Kingdom
Kerstin L. Edlefsen United States
Xiaojie Fang China
Rafael Dezen Gaiolla Brazil
Claudia Friedrich United States
Jen Kou Lin Taiwan
Atsushi Saito Japan
Fisher Ri United States
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Citations per field
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Citations per year

Countries citing papers authored by Ramesh Dawar

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Dawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Mature Cystic Teratoma of the Uterine Surface and Ovary with Adenocarcinoma of the Endometrium: An Unusual Case Scenario and Literature Review
20161
2 20152
3 201518
4 201038
5
Low apoptotic index & bak expression in EBV-associated childhood classical Hodgkin lymphoma.
20093
6 20081
7 200711
8 20071
9
Diagnosis and grading of non-Hodgkin's lymphomas on fine needle aspiration cytology.
20076
10 200653
11 200642
12 200559
13 20047
14
Significance of splenomegaly in childhood Hodgkin disease.
20048
15
Etoposide, vinblastine, adriamycin and prednisolone (EVAP) combination chemotherapy as first-line treatment for Hodgkin's disease.
20035
16 200313
17 200325
18 199814
19 198520
20 197347

About Ramesh Dawar

Ramesh Dawar is a scholar working on Pathology and Forensic Medicine, Reproductive Medicine, Genetics, Oncology and Neurology, having authored 22 papers that have together received 391 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (5 papers), Viral-associated cancers and disorders (5 papers), Ovarian cancer diagnosis and treatment (3 papers), Neuroendocrine Tumor Research Advances (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Brain Metastases and Treatment (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (185 citations), Oncology (157 citations), Biophysics (30 citations), Neurology (57 citations) and Reproductive Medicine (31 citations). Ramesh Dawar has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Véronique Dinand, Lalit Kumar, Donald J. Svoboda, Daniel L. Azarnoff, Janardan K. Reddy, Amit Kumar Dinda, Rajvir Singh, Sameer Bakhshi, Ranjana Mehrotra and Noopur Gupta. Their work appears in journals such as Pediatric Blood & Cancer, American Journal of Hematology, Cancer, JNCI Journal of the National Cancer Institute and European Journal of Cancer.

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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