Nitika Nitika

693 citations
27 papers · 508 · h-index 13

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Heat shock proteins research
    • Protein Structure and Dynamics
    • RNA Interference and Gene Delivery
    • ATP Synthase and ATPases Research

Papers in

Nitika Nitika

26 papers receiving 502 citations

Peers

Nitika Nitika
Comparison fields: 5 of 85
  • Aging 26
  • Molecular Biology 418
  • Cell Biology 87
  • Immunology 60
  • Physical and Theoretical Chemistry 24
Replace Jean Duchaine with:
Jean Duchaine Canada
Sigrun Polier United Kingdom
Nancy C. Collier United States
Edwige Col France
Olesya O. Panasenko Switzerland
P.R.L.A. van den IJssel Netherlands
Per Hansen Denmark
Naushaba Hasin United States
Georg Kempf Switzerland
Casey C. Perley United States
Nitika Nitika relative to Jean Duchaine Canada Jean Duchaine's profile →
Citations per field
00.5×7.7×
Jean Duchaine · 1×
Citations per year

Countries citing papers authored by Nitika Nitika

Since Specialization
Citations

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

Fields of papers citing papers by Nitika Nitika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nitika Nitika, 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 Nitika Nitika Line = papers co-authored together Nitika Nitika 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 2020135
2 202254
3 201744
4 202234
5 201931
6 202130
7 201928
8 201827
9 202024
10 201919
11 202217
12 201913
13 202013
14 20247
15 20207
16 20176
17 20224
18 20233
19 20193
20 20232

About Nitika Nitika

Nitika Nitika is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Physical and Theoretical Chemistry and Hematology, having authored 27 papers that have together received 508 indexed citations. Recurring topics across this work include Heat shock proteins research (16 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Acute Myeloid Leukemia Research (3 papers), thermodynamics and calorimetric analyses (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Aging (26 citations), Molecular Biology (418 citations), Cell Biology (87 citations), Immunology (60 citations) and Physical and Theoretical Chemistry (24 citations). Nitika Nitika has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Andrew W. Truman, Ai‐Min Hui, Matthias C. Truttmann, Corey M. Porter, Gary W. Jones, Stuart K. Calderwood, Donald J. Wolfgeher, Adam M. Reitzel, Ian Marriott and Paul N. Moynagh. Their work appears in journals such as PLoS Genetics, Journal of Clinical Oncology, Cancers, Cell Stress and Chaperones and Scientific Reports.

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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