Nisha Jain

724 citations
27 papers · 478 · h-index 10

Impact in

  • Hematology top 5%
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Blood groups and transfusion

Papers in

    • Hemophilia Treatment and Research 17
    • Platelet Disorders and Treatments 8
    • Blood groups and transfusion 3
    • Blood Coagulation and Thrombosis Mechanisms 3
    • Chronic Myeloid Leukemia Treatments 2
    • Hemoglobinopathies and Related Disorders 2

Nisha Jain

26 papers receiving 457 citations

Peers

Nisha Jain
Comparison fields: 5 of 67
  • Hematology 264
  • Biological Psychiatry 24
  • Genetics 45
  • Health Information Management 18
  • Immunology 74
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Citations per field
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Citations per year

Countries citing papers authored by Nisha Jain

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003152
2 202164
3 201739
4 201138
5 202134
6 201832
7 201520
8 200918
9 202010
10 202010
11 20239
12 20148
13 20168
14 20207
15 20234
16 20164
17 20214
18
Immune-mediated thrombocytopenia in a dog.
19884
19
Post hoc analysis to evaluate the effect of recombinant factor IX Fc fusion protein (rFIXFc) prophylaxis in adults and adolescents with target joints and hemophilia B
20163
20 20182

About Nisha Jain

Nisha Jain is a scholar working on Hematology, Genetics, Immunology, Surgery and Pharmacology, having authored 27 papers that have together received 478 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (17 papers), Platelet Disorders and Treatments (8 papers), Blood groups and transfusion (3 papers), Complement system in diseases (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Hematology (264 citations), Biological Psychiatry (24 citations), Genetics (45 citations), Health Information Management (18 citations) and Immunology (74 citations). Nisha Jain has collaborated with scholars based in United States, Canada and India. Frequent co-authors include L. Ross Pierce, Elisa Tsao, Jennifer Dumont, Roshni Kulkarni, Bent Winding, Johnny Mahlangu, Natalya M. Ananyeva, Timothy Lee, Midori Shima and Peter Nägele. Their work appears in journals such as Blood, Haemophilia, Journal of Thrombosis and Haemostasis, Thrombosis Research and Blood Advances.

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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