Jayashree Krishnan

35 papers receiving 1.1k citations

Peers

Jayashree Krishnan
Comparison fields: 5 of 60
  • Pathology and Forensic Medicine 458
  • Dermatology 181
  • Oncology 397
  • Genetics 137
  • Neurology 144
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Shimareet Kumar United States
Moshe Stein Israel
Alexander Chan China
N T O'Connor United Kingdom
Cathrin Skrabs Austria
C. Portlock United States
Maurizio Martelli Italy
Gia‐Khanh Nguyen Canada
Wing‐Yan Au China
Hirofumi Taji Japan
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Citations per year

Countries citing papers authored by Jayashree Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Jayashree Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993158
2 199396
3 199383
4
T-cell-rich large B-cell lymphoma. A study of 30 cases, supporting its histologic heterogeneity and lack of clinical distinctiveness.
199474
5 200362
6 199462
7 199360
8 200548
9 199645
10 200144
11 199837
12 200633
13 199331
14 200830
15 199529
16 200726
17 202124
18 199420
19 200119
20
Rosai-Dorfman disease (sinus histiocytosis with massive lymphadenopathy) of the pancreas: first case report.
199918

About Jayashree Krishnan

Jayashree Krishnan is a scholar working on Pathology and Forensic Medicine, Surgery, Genetics, Dermatology and Oncology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Cutaneous lymphoproliferative disorders research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Ovarian cancer diagnosis and treatment (5 papers), Endometriosis Research and Treatment (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Nail Diseases and Treatments (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (458 citations), Dermatology (181 citations), Oncology (397 citations), Genetics (137 citations) and Neurology (144 citations). Jayashree Krishnan has collaborated with scholars based in United States, India and Thailand. Frequent co-authors include Glauco Frizzera, J. M. Meis, S Falk, Maria‐Magdalena Tomaszewski, Wei‐Sing Chu, Jeffrey D. Seidman, Grace F. Kao, Joseph Catlett, George P. Lupton and Alan R. Burningham. Their work appears in journals such as International Journal of Gynecological Pathology, Journal of Cutaneous Pathology, American Journal of Clinical Pathology, The American Journal of Surgical Pathology and American Journal of Hematology.

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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