Nisha Nanda

1.8k citations
33 papers · 1.4k indexed · 1 hit paper · h-index 14

Nisha Nanda

33 papers receiving 1.3k citations

Hit Papers

An Oncogenic NTRK Fusion in a Patient with Soft-Tissue Sa...3022015202620182022100200300

Peers

Nisha Nanda
Comparison fields: 5 of 75
  • Hematology 444
  • Genetics 213
  • Pulmonary and Respiratory Medicine 561
  • Internal Medicine 49
  • Immunology and Allergy 54
Replace Koshi Fujikawa with:
Koshi Fujikawa Japan
Allison C. Ostriker United States
Anne Zufferey Switzerland
Eloisa Romano Italy
Yacine Boulaftali France
Katya J. Henley Australia
M J Bottomley United Kingdom
Nassia Methia France
Jay M. Edelberg United States
Carolyn J. Watson United Kingdom
Nisha Nanda relative to Koshi Fujikawa Japan Koshi Fujikawa's profile →
Citations per field
00.5×3.5×
Koshi Fujikawa · 1×
Citations per year

Countries citing papers authored by Nisha Nanda

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201710
2 20161
3 20163
4
An Oncogenic NTRK Fusion in a Patient with Soft-Tissue Sarcoma with Response to the Tropomyosin-Related Kinase Inhibitor LOXO-101breakdown →
2015302
5 201512
6 201511
7 20155
8 20157
9 201339
10 201289
11 201236
12 2010100
13 200614
14 2005103
15 200425
16 200370
17
Targeted inactivation of G(h)/tissue transglutaminase II
200112
18 2001239
19 200086
20 19995

About Nisha Nanda

Nisha Nanda is a scholar working on Hematology, Genetics, Pulmonary and Respiratory Medicine, Immunology and Allergy and Oncology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Blood properties and coagulation (6 papers), Colorectal Cancer Treatments and Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), Advanced Breast Cancer Therapies (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Hematology (444 citations), Genetics (213 citations), Pulmonary and Respiratory Medicine (561 citations), Internal Medicine (49 citations) and Immunology and Allergy (54 citations). Nisha Nanda has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Robert M. Graham, Siiri E. Iismaa, Ahsan Husain, Fabienne Mackay, W. Andrew Owens, David R. Phillips, Jennifer A. Low, Robert C. Doebele, Brian B. Tuch and Karl R. Clauser. Their work appears in journals such as Blood, Journal of Biological Chemistry, Journal of Clinical Oncology, European Journal of Cancer and Molecular Cancer Therapeutics.

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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