Manisha Lamba

42 papers receiving 797 citations

Manisha Lamba's Hit Papers

The mechanism of action of tofacitinib - an oral Janus kinase inhibitor for the treatment of rheumatoid arthritis. 2016 · 310 citations
3100+3+6Years since publication100200300

Peers

Manisha Lamba
Comparison fields: 5 of 81
  • Filtration and Separation 33
  • Rheumatology 211
  • Hematology 151
  • Oncology 170
  • Immunology 117
Replace Jason Hafron with:
Jason Hafron United States
Eiko Hasegawa Japan
Chunde Bao China
Tomoyuki Asano Japan
Eileen Smith United States
Susanne Drynda Germany
D. J. Richel Netherlands
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Umihiko Sawada Japan
Agnes L. Maier United States
Manisha Lamba relative to Jason Hafron United States Jason Hafron's profile →
Citations per field
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Citations per year

Countries citing papers authored by Manisha Lamba

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Lamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The mechanism of action of tofacitinib - an oral Janus kinase inhibitor for the treatment of rheumatoid arthritis.
Hit paper breakdown →
2016310
2 201765
3 201662
4 202038
5 202235
6 200529
7 200222
8 201918
9 201417
10 202317
11 200417
12 201717
13 201814
14 201013
15 200512
16 202011
17 200311
18 200510
19 20069
20 20029

About Manisha Lamba

Manisha Lamba is a scholar working on Oncology, Molecular Biology, Fluid Flow and Transfer Processes, Hematology and Filtration and Separation, having authored 45 papers that have together received 813 indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (8 papers), Multiple Myeloma Research and Treatments (6 papers), Protein Degradation and Inhibitors (6 papers), CAR-T cell therapy research (6 papers), Chemical and Physical Properties in Aqueous Solutions (5 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Surfactants and Colloidal Systems (3 papers) and Biosimilars and Bioanalytical Methods (3 papers). The work is most often cited by research in Filtration and Separation (33 citations), Rheumatology (211 citations), Hematology (151 citations), Oncology (170 citations) and Immunology (117 citations). Manisha Lamba has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Sriram Krishnaswami, Samuel H. Zwillich, Jennifer Hodge, Thomas T. Kawabata, Jean‐Baptiste Telliez, Martin E. Dowty, James D. Clark, Sujatha Menon, Christine Alvey and Thomas Stock. Their work appears in journals such as Canadian Journal of Ophthalmology, Journal of Molecular Liquids, Clinical Pharmacology & Therapeutics, Cardiovascular Pathology and CPT Pharmacometrics & Systems Pharmacology.

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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