P. Gopalakrishna

988 citations
6 papers · 645 · 1 hit paper · h-index 5

Impact in

  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

P. Gopalakrishna

6 papers receiving 638 citations

P. Gopalakrishna's Hit Papers

Long-term findings from COMFORT-II, a phase 3 study of ruxolitinib vs best available therapy for myelofibrosis 2016 · 361 citations
3610+3+6Years since publication100200300

Peers

P. Gopalakrishna
Comparison fields: 5 of 41
  • Genetics 493
  • Hematology 314
  • Rheumatology 160
  • Molecular Biology 219
  • Oncology 72
Replace Berit Markevärn with:
Berit Markevärn Sweden
А К Голенков Russia
Marie‐Pierre Noël France
J. Janssen Netherlands
P Dang Australia
Н Д Хорошко Russia
Dushyant Verma United States
G. Rosti Italy
D-W Kim Germany
J Score United Kingdom
P. Gopalakrishna relative to Berit Markevärn Sweden Berit Markevärn's profile →
Citations per field
00.5×1.5×2×
Berit Markevärn · 1×
Citations per year

Countries citing papers authored by P. Gopalakrishna

Since Specialization
Citations

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

Fields of papers citing papers by P. Gopalakrishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Long-term findings from COMFORT-II, a phase 3 study of ruxolitinib vs best available therapy for myelofibrosis
Hit paper breakdown →
2016361
2 2015176
3 201180
4 202316
5 201411
6 20111

About P. Gopalakrishna

P. Gopalakrishna is a scholar working on Molecular Biology, Genetics, Hematology, Dermatology and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 645 indexed citations. Recurring topics across this work include Kruppel-like factors research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (1 paper), Lung Cancer Treatments and Mutations (1 paper), Oral microbiology and periodontitis research (1 paper), Multiple Myeloma Research and Treatments (1 paper), Piperaceae Chemical and Biological Studies (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Genetics (493 citations), Hematology (314 citations), Rheumatology (160 citations), Molecular Biology (219 citations) and Oncology (72 citations). P. Gopalakrishna has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Viktoriya Stalbovskaya, Claire Harrison, Alessandro M. Vannucchi, Mari McQuitty, L. Knoops, Haifa Kathrin Al‐Ali, Francisco Cervantes, Heinz Gisslinger, Kang Sun and Tiziano Barbui. Their work appears in journals such as Annals of Oncology, Gels, Leukemia, Haematologica and 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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