Tuhina Neogi

46.5k total citations · 7 hit papers
384 papers, 13.6k citations indexed

About

Tuhina Neogi is a scholar working on Rheumatology, Surgery and Pharmacology. According to data from OpenAlex, Tuhina Neogi has authored 384 papers receiving a total of 13.6k indexed citations (citations by other indexed papers that have themselves been cited), including 246 papers in Rheumatology, 131 papers in Surgery and 82 papers in Pharmacology. Recurrent topics in Tuhina Neogi's work include Osteoarthritis Treatment and Mechanisms (181 papers), Gout, Hyperuricemia, Uric Acid (67 papers) and Total Knee Arthroplasty Outcomes (58 papers). Tuhina Neogi is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (181 papers), Gout, Hyperuricemia, Uric Acid (67 papers) and Total Knee Arthroplasty Outcomes (58 papers). Tuhina Neogi collaborates with scholars based in United States, Canada and United Kingdom. Tuhina Neogi's co-authors include Yuqing Zhang, David T. Felson, Jingbo Niu, Michael C. Nevitt, David J. Hunter, Frank W. Roemer, Cora E. Lewis, Hyon K. Choi, James C. Torner and Ali Guermazi and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of Clinical Oncology.

In The Last Decade

Tuhina Neogi

350 papers receiving 13.2k citations

Hit Papers

The epidemiology and impact of pain in osteoarthritis 2011 2026 2016 2021 2013 2012 2012 2011 2012 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The epidemiology and impact of pain in osteoarthritis
    2013 1.2k citations Tuhina Neogi Osteoarthritis and Cartilage profile →
  2. Rheumatoid arthritis disease activity measures: American College of Rheumatology recommendations for use in clinical practice
    2012 553 citations Tuhina Neogi, James R. O’Dell et al. Arthritis Care & Research profile →
  3. Epidemiology of Osteoarthritis
    2012 449 citations Tuhina Neogi, Yuqing Zhang profile →
  4. Gout
    2011 374 citations Tuhina Neogi profile →
  5. Prevalence of abnormalities in knees detected by MRI in adults without knee osteoarthritis: population based observational study (Framingham Osteoarthritis Study)
    2012 363 citations Jingbo Niu, Frank W. Roemer et al. profile →
  6. Distinctions Between Diagnostic and Classification Criteria?
    2015 299 citations Tuhina Neogi, David T. Felson et al. Arthritis Care & Research profile →
  7. Osteoarthritis
    2025 79 citations Su’an Tang, Changqing Zhang et al. Nature Reviews Disease Primers profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tuhina Neogi United States 57 7.8k 4.2k 2.7k 2.3k 1.6k 384 13.6k
Robin Christensen Denmark 69 6.7k 0.9× 5.3k 1.3× 482 0.2× 3.2k 1.4× 1.4k 0.9× 548 18.6k
Catherine Hill Australia 46 5.5k 0.7× 3.2k 0.8× 475 0.2× 1.5k 0.7× 1.3k 0.8× 265 12.2k
C. Kent Kwoh United States 61 7.6k 1.0× 5.0k 1.2× 447 0.2× 1.8k 0.8× 1.8k 1.1× 309 14.5k
Leonardo Punzi Italy 63 7.7k 1.0× 2.1k 0.5× 1.9k 0.7× 955 0.4× 368 0.2× 399 13.0k
Hilal Maradit Kremers United States 58 9.8k 1.3× 6.8k 1.6× 437 0.2× 1.3k 0.6× 1.3k 0.8× 210 20.4k
Søren Jacobsen Denmark 64 5.4k 0.7× 4.4k 1.0× 639 0.2× 1.8k 0.8× 454 0.3× 327 13.8k
Jingbo Niu United States 74 11.7k 1.5× 8.8k 2.1× 685 0.3× 2.4k 1.0× 4.6k 2.9× 284 17.1k
Reva C. Lawrence United States 14 7.2k 0.9× 3.2k 0.8× 410 0.2× 2.2k 1.0× 1.4k 0.9× 18 10.9k
Rosemarie Hirsch United States 21 6.1k 0.8× 2.7k 0.6× 374 0.1× 2.0k 0.9× 1.0k 0.7× 36 10.3k
Beat A. Michel Switzerland 68 8.7k 1.1× 2.6k 0.6× 1.5k 0.6× 1.4k 0.6× 321 0.2× 205 20.9k

Countries citing papers authored by Tuhina Neogi

Since Specialization
Citations

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

Fields of papers citing papers by Tuhina Neogi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuhina Neogi

This figure shows the co-authorship network connecting the top 25 collaborators of Tuhina Neogi. A scholar is included among the top collaborators of Tuhina Neogi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tuhina Neogi. Tuhina Neogi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Neogi, Tuhina, et al.. (2025). Relation of pain sensitization to knee loading during walking in people with knee osteoarthritis. Osteoarthritis and Cartilage. 33(4). 509–516.
2.
Tang, Su’an, Changqing Zhang, Win Min Oo, et al.. (2025). Osteoarthritis. Nature Reviews Disease Primers. 11(1). 10–10. 79 indexed citations breakdown →
3.
4.
King, Lauren, Armaghan Mahmoudian, Jean W. Liew, et al.. (2024). AN INTERNATIONAL PATIENT SURVEY TO IDENTIFY CANDIDATE ITEMS FOR CLASSIFYING EARLY-STAGE SYMPTOMATIC KNEE OSTEOARTHRITIS. Osteoarthritis and Cartilage. 32. S257–S258.
5.
Androsenko, Maria, Bridget Kramer, Mary T. Brophy, et al.. (2024). Comparison of Gout Flares With the Initiation of Treat‐to‐Target Allopurinol and Febuxostat: A Post‐Hoc Analysis of a Randomized Multicenter Trial. Arthritis & Rheumatology. 76(10). 1552–1559. 1 indexed citations
6.
Neogi, Tuhina, et al.. (2023). Exploring pain phenotypes in people with early knee osteoarthritis:the multicenter osteoarthritis study (most). Osteoarthritis and Cartilage. 31(5). 707–708. 1 indexed citations
7.
Neogi, Tuhina, et al.. (2023). Sitting may increase risk for radiographic incidence and progression of knee osteoarthritis over 2 years: Data from a large cohort study. Musculoskeletal Care. 21(4). 1075–1084. 1 indexed citations
8.
Rose, Michael, Tuhina Neogi, Michael P. LaValley, et al.. (2023). Reliability of Wearable Sensors for Assessing Gait and Chair Stand Function at Home in People With Knee Osteoarthritis. Arthritis Care & Research. 75(9). 1939–1948. 6 indexed citations
9.
Quinn, Kaitlin A., Mark A. Ahlman, Michael P. LaValley, et al.. (2022). Association of 18F‐Fluorodeoxyglucose–Positron Emission Tomography Activity With Angiographic Progression of Disease in Large Vessel Vasculitis. Arthritis & Rheumatology. 75(1). 98–107. 30 indexed citations
10.
England, Bryant R., Punyasha Roul, Harlan Sayles, et al.. (2022). Cause‐Specific Mortality in Patients With Gout in the US Veterans Health Administration: A Matched Cohort Study. Arthritis Care & Research. 75(4). 808–816. 7 indexed citations
11.
Roemer, Frank W., Jamie E. Collins, C. Kent Kwoh, et al.. (2019). MRI-based screening for structural definition of eligibility in clinical DMOAD trials: Rapid OsteoArthritis MRI Eligibility Score (ROAMES). Osteoarthritis and Cartilage. 28(1). 71–81. 63 indexed citations
12.
Neogi, Tuhina, et al.. (2018). Diagnostic accuracy of self-administered urine glucose test strips as a diabetes screening tool in a low-resource setting in Cambodia. BMJ Open. 8(3). e019924–e019924. 13 indexed citations
13.
Dua, Anisha B., Tuhina Neogi, Rachel A. Mikolaitis, Joel A. Block, & Najia Shakoor. (2018). Somatosensation in OA: exploring the relationships of pain sensitization, vibratory perception and spontaneous pain. BMC Musculoskeletal Disorders. 19(1). 307–307. 11 indexed citations
14.
Vargas‐Santos, Ana Beatriz & Tuhina Neogi. (2017). Management of Gout and Hyperuricemia in CKD. American Journal of Kidney Diseases. 70(3). 422–439. 150 indexed citations
15.
Misra, Devyani, David T. Felson, Rebecca A. Silliman, et al.. (2014). Knee Osteoarthritis and Frailty: Findings From the Multicenter Osteoarthritis Study and Osteoarthritis Initiative. The Journals of Gerontology Series A. 70(3). 339–344. 66 indexed citations
16.
Neogi, Tuhina. (2013). The epidemiology and impact of pain in osteoarthritis. Osteoarthritis and Cartilage. 21(9). 1145–1153. 1165 indexed citations breakdown →
17.
Neogi, Tuhina, Laura Frey‐Law, Joachim Scholz, et al.. (2013). Sensitivity and sensitisation in relation to pain severity in knee osteoarthritis: trait or state?. Annals of the Rheumatic Diseases. 74(4). 682–688. 168 indexed citations
18.
White, Daniel K., Tuhina Neogi, M.C. Nevitt, et al.. (2012). Trajectories of Gait Speed Predict Mortality in Well-Functioning Older Adults: The Health, Aging and Body Composition Study. The Journals of Gerontology Series A. 68(4). 456–464. 187 indexed citations
19.
Merkel, Peter A., Karen Herlyn, Alfred Mahr, et al.. (2009). Progress Towards a Core Set of Outcome Measures in Small-vessel Vasculitis. Report from OMERACT 9. The Journal of Rheumatology. 36(10). 2362–2368. 32 indexed citations
20.
Neogi, Tuhina, Michael C. Nevitt, Jingbo Niu, et al.. (2006). Lack of association between chondrocalcinosis and increased risk of cartilage loss in knees with osteoarthritis: Results of two prospective longitudinal magnetic resonance imaging studies. Arthritis & Rheumatism. 54(6). 1822–1828. 67 indexed citations

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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